CA2481250A1 - Tailgating and reverse entry detection, alarm, recording and prevention using machine vision - Google Patents

Tailgating and reverse entry detection, alarm, recording and prevention using machine vision Download PDF

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Publication number
CA2481250A1
CA2481250A1 CA002481250A CA2481250A CA2481250A1 CA 2481250 A1 CA2481250 A1 CA 2481250A1 CA 002481250 A CA002481250 A CA 002481250A CA 2481250 A CA2481250 A CA 2481250A CA 2481250 A1 CA2481250 A1 CA 2481250A1
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CA
Canada
Prior art keywords
access
area
controlled
access control
controlled access
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CA002481250A
Other languages
French (fr)
Other versions
CA2481250C (en
Inventor
John Westley Bramblet
Carl Roger Witty
Seth Michael Laforge
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Newton Security Inc
Original Assignee
Newton Security, Inc.
John Westley Bramblet
Carl Roger Witty
Seth Michael Laforge
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Newton Security, Inc., John Westley Bramblet, Carl Roger Witty, Seth Michael Laforge filed Critical Newton Security, Inc.
Publication of CA2481250A1 publication Critical patent/CA2481250A1/en
Application granted granted Critical
Publication of CA2481250C publication Critical patent/CA2481250C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/10—Movable barriers with registering means
    • G07C9/15—Movable barriers with registering means with arrangements to prevent the passage of more than one individual at a time

Abstract

Unauthorized entry into controlled access areas using tailgating or reverse entry methods is detected using machine vision methods. Camera images of the controlled area are processed to identify and track objects in the controlle d area. In a preferred embodiment, this processing includes 3D surface analysi s to distinguish and classify objects in the field of view. Feature extraction , color analysis, and pattern recognition may also be used for identification and tracking of objects. Integration with security monitoring and control systems provides notification when a tailgating or reverse entry event has occurred. More reliable operation in practical circumstances is thus obtaine d, such as when multiple people are using an entrance or exit under variable light and shadow conditions. Electronic access control systems may further b e combined with the machine vision methods of the invention to more effectivel y prevent tailgating or reverse entry.

Claims (80)

1. A method for detecting a tailgating event in regard to security of a controlled access area, comprising:
(a) acquiring one or more stereoscopic images of an area of observation;
(b) analyzing the one or more images using a machine vision processing system to identify and classify a first object in the area of observation, said first object having supplied an authorization with respect to the controlled access area, and further using the machine vision processing system to identify and classify a second object in the area of observation; and (c) applying one or more access control rules to the information obtained from the image analysis to determine whether the second object is attempting to breach the controlled access area by utilizing the authorization supplied by the first object in violation thereof.
2. The method of Claim 1, in which the one or more access control rules determine whether the second object is attempting to breach the controlled access area based on proximity of the second object to the first object in the area of observation.
3. The method of Claim 2, in which the authorization of the first object is to enter the controlled access area, and the one or more access control rules determine whether the second object is attempting to enter the controlled access area by maintaining proximity to the first object as the first object enters the controlled access area.
4. The method of Claim 2, in which the authorization of the first object is to exit the controlled access area, and the one or more access control rules determine whether the second object is attempting to enter the controlled access area by maintaining proximity to the first object as the first object exits the controlled access area.
5. The method of Claim 1, in which analyzing the one or more images further comprises using the machine vision processing system to identify motion of the first object and the second object.
6. The method of Claim 5, in which the one or more access control rules determine whether the second object is attempting to breach the controlled access area based on motion of the second object relative to the first object.
7. The method of Claim 6, in which the one or more access control rules determine whether the second object is following the motion of the first object with respect to the controlled access area.
8. The method of Claim 1, further comprising triggering an alarm when the one or more access control rules determine that the second object is attempting to breach the controlled access area.
9. The method of Claim 1, further comprising causing an access limiting device associated with the controlled access area to prevent breach of the controlled access area by the second object.
10. The method of Claim 9, in which causing the access limiting device to prevent breach of the controlled access area comprises causing the access limiting device to block passage by the second object with respect to the controlled access area.
11. The method of Claim 9, in which causing the access limiting device to prevent breach of the controlled access area comprises locking the access limiting device.
12. The method of Claim 9, in which causing the access limiting device to prevent breach of the controlled access area comprises reversing a direction of operation of the access limiting device.
13. The method of Claim 12, in which the access limiting device is a revolving door and the direction of rotation of the revolving door is reversed.
14. The method of Claim 1, further comprising causing one or more access limiting devices to block passage of the second object and contain the second object within a defined area.
15. The method of Claim l, further comprising receiving access control information from an access control system and applying the one or more access control rules to the access control information in combination with the information obtained from the image analysis to determine whether the second object is attempting to breach the controlled access area.
16. The method of Claim 15, further comprising triggering an alarm when the one or more access control rules applied to the access control information and image analysis information determine that the second object is attempting to breach the controlled access area.
17. The method of Claim 15, further comprising causing an access limiting device associated with the controlled access area to prevent breach of the controlled access area by the second object.
18. The method of Claim 17, in which causing the access limiting device to prevent breach of the controlled access area comprises causing the access limiting device to block passage by the second object with respect to the controlled access area.
19. The method of Claim 17, in which causing the access limiting device to prevent breach of the controlled access area comprises locking the access limiting device.
20. The method of Claim 17, in which causing the access limiting device to prevent breach of the controlled access area comprises reversing a direction of operation of the access limiting device.
21. The method of Claim 20, in which the access limiting device is a revolving door and the direction of rotation of the revolving door is reversed.
22. The method of Claim 1, in which analyzing the one or more images using a machine vision processing system further comprises using a three-dimensional surface analysis to identify the first or second object.
23. The method of Claim 1, in which analyzing the one or more images using a machine vision processing system further comprises using a three-dimensional surface analysis to classify the first or second object.
24. The method of Claim 1, in which the first or second object is classified as to type of object.
25. The method of Claim l, in which analyzing the one or more images further comprises determining the presence of a connection between the first and second objects.
26. The method of Claim 1, further comprising recording the one or more images.
27. The method of Claim 1, further comprising recording information obtained from the image analysis.
28. The method of Claim l, further comprising recording information resulting from applying the one or more access control rules to the information obtained from the image analysis.
29. The method of Claim l, further comprising defining a region of interest within the area of observation.
30. The method of Claim 29, further comprising defining a plurality of regions of interest and applying the one or more access control rules based on the region of interest in which the first or second objects are located.
31. The method of Claim 29, further comprising using an interactive user interface that displays the area of observation to define the region of interest.
32. The method of Claim 1, further comprising using an interactive user interface to configure properties of the image analysis.
33. The method of Claim 1, further comprising using an interactive user interface to configure properties of the machine vision processing system.
34. The method of Claim 1, further comprising using an interactive user interface to configure properties of an access control system that provides access control information to the machine vision processing system.
35. A method for detecting unauthorized passage of an object in regard to security of a controlled access area having a designated access point, comprising:
(a) acquiring one or more stereoscopic images of an area of observation associated with the designated access point;
(b) analyzing the one or more images using a machine vision processing system to identify and classify an object in the area of observation, and further to determine the direction of motion of the object with respect to the designated access point; and (c) applying one or more access control rules to the information obtained from the image analysis to determine whether the object is attempting to breach the controlled access area by using the designated access point in violation of the security of the controlled access area.
36. The method of Claim 35, in which the designated access point is an exit-only access point and the one or more access control rules determine whether the object is attempting to enter the controlled access area through the exit-only access point.
37. The method of Claim 35, in which the designated access point is limited to passage of objects that are classified in a defined object type and the one or more access control rules determine whether the classification of the object in the area of observation is in the defined object type.
38. The method of Claim 37, in which the designated access point is limited to passage of objects classified as vehicles.
39. The method of Claim 37, in which the designated access point is limited to passage of objects classified as packages.
40. The method of Claim 37, in which the designated access point is limited to passage of objects classified as human persons.
41. The method of Claim 35, in which the designated access point is a one-way elevator and the one or more access control rules determine whether the object is attempting to enter the controlled access area via the exit of the one-way elevator.
42. The method of Claim 35, in which the designated access point is an escalator and the one or more access control rules determine whether the object is attempting to access the controlled access area by entering the escalator in a direction opposite to the operation of the escalator.
43. The method of Claim 35, in which the designated access point is a revolving door and the one or more access control rules determine whether the object is attempting to access the controlled access area by entering the revolving door in a direction opposite to the operation of the revolving door.
44. The method of Claim 35, in which analyzing the one or more images further comprises determining the speed of motion of the object and the one or more access control rules determine whether the speed of motion of the object indicates a thrown object.
45. The method of Claim 35, in which analyzing the one or more images further comprises determining the trajectory of motion of the object and the one or more access control rules determine whether the trajectory of motion of the object indicates a thrown object.
46. The method of Claim 35, further comprising triggering an alarm when the one or more access control rules determine that the object is attempting to breach the controlled access area by using the designated access point in violation of the security of the controlled access area.
47. The method of Claim 35, further comprising causing an access limiting device associated with the designated access point to prevent breach of the controlled access area by the object.
48. The method of Claim 47, in which causing the access limiting device to prevent breach of the controlled access area comprises causing the access limiting device to block passage by the object with respect to the designated access point.
49. The method of Claim 47, in which causing the access limiting device to prevent breach of the controlled access area comprises locking the access limiting device.
50. The method of Claim 35, further comprising causing one or more access limiting devices to block passage of the object at the designated access point and contain the object within a defined area.
51. The method of Claim 35, further comprising receiving access control information from an access control system and applying the one or more access control rules to the access control information in combination with the information obtained from the image analysis to determine whether the object is attempting to breach the controlled access area.
52. The method of Claim 51, further comprising triggering an alarm when the one or more access control rules applied to the access control information and the information obtained from the image analysis determine that the object is attempting to breach the controlled access area by using the designated access point in violation of the security of the controlled access area.
53. The method of Claim 51, further comprising causing an access limiting device associated with the designated access point to prevent breach of the controlled access area by the object.
54. The method of Claim 53, in which causing the access limiting device to prevent breach of the controlled access area comprises causing the access limiting device to block passage by the object with respect to the designated access point.
55. The method of Claim 53, in which causing the access limiting device to prevent breach of the controlled access area comprises locking the access limiting device.
56. The method of Claim 35, in which analyzing the one or more images using a machine vision processing system further comprises using a three-dimensional surface analysis to identify the object.
57. The method of Claim 35, in which analyzing the one or more images using a machine vision processing system further comprises using a three-dimensional surface analysis to classify the object.
58. The method of Claim 35, further comprising recording the one or more images.
59. The method of Claim 35, further comprising recording information obtained from the image analysis.
60. The method of Claim 35, further comprising recording information resulting from applying the one or more access control rules to the information obtained from the image analysis.
61. The method of Claim 35, further comprising defining a region of interest within the area of observation.
62. The method of Claim 61, further comprising defining a plurality of regions of interest and applying the one or more access control rules based on the region of interest in which the object is located.
63. The method of Claim 61, further comprising using an interactive user interface that displays the area of observation to define the region of interest.
64. The method of Claim 35, further comprising using an interactive user interface to configure properties of the image analysis.
65. The method of Claim 35, further comprising using an interactive user interface to configure properties of the machine vision processing system.
66. The method of Claim 35, further comprising using an interactive user interface to configure properties of an access control system that provides access control information to the machine vision processing system.
67. An apparatus for detecting a security violation with respect to a controlled access area, comprising:
(a) a stereoscopic imaging device for acquiring one or more stereographic images of an area of observation; and (b) a machine vision processing system in communication with the stereoscopic imaging device to receive the one or more images, the machine vision processing system being further configured to analyze the one or more images to identify and classify an object in the area of observation, and apply one or more access control rules to determine whether the object is attempting to breach the controlled access area in violation of security of the controlled access area.
68. The apparatus of Claim 67, in which the object in the area of observation is a suspect object, the apparatus further comprising a position sensor disposed on a background object in the area of observation, the machine vision processing system being further configured to use information received from the position sensor to define the background object from the suspect object.
69. The apparatus of Claim 68, in which the position sensor is disposed on a door.
70. The apparatus of Claim 68, in which the machine vision processing system is further configured to perform a calibration procedure that correlates position sensor information to a position of the background object for determining a background image.
71. The apparatus of Claim 67, in which the controlled access area has a designated access point, the machine vision processing system being further configured to determine the direction of motion of the object with respect to the designated access point and apply the one or more access control rules to determine whether the object is attempting to breach the controlled access area by using the designated access point in violation of the security of the controlled access area.
72. The apparatus of Claim 71, in which the machine vision processing system is further configured to analyze the one or more images to determine the speed of motion of the object and apply the one or more access control rules to determine whether the speed of motion of the object indicates a thrown object.
73. The apparatus of Claim 71, in which the machine vision processing system is further configured to analyze the one or more images to determine the trajectory of motion of the object and apply the one or more access control rules to determine whether the trajectory of motion of the object indicates a thrown object.
74. The apparatus of Claim 67, further comprising an alarm that is triggered when the one or more access control rules determine that the object is attempting to breach the controlled access area in violation of the security of the controlled access area.
75. The apparatus of Claim 67, in which the object in the area of observation is a second object, the machine vision processing system being further configured to identify and classify a first object in the area of observation having supplied an authorization with respect to the controlled access area, and to apply the one or more access control rules to determine whether the second object is attempting to breach the controlled access area by utilizing the authorization supplied by the first object in violation thereof.
76. The apparatus of Claim 75, in which the one or more access control rules are configured to determine whether the second object is attempting to breach the controlled access area based on proximity of the second object to the first object in the area of observation.
77. The apparatus of Claim 76, in which the authorization of the first object is to enter the controlled access area, and the one or more access control rules are configured to determine whether the second object is attempting to enter the controlled access area by maintaining proximity to the first object as the first object enters the controlled access area.
78. The apparatus of Claim 76, in which the authorization of the first object is to exit the controlled access area, and the one or more access control rules are configured to determine whether the second object is attempting to enter the controlled access area by maintaining proximity to the first object as the first object exits the controlled access area.
79. The apparatus of Claim 67, further comprising an access control system associated with the controlled access area in which the access control system is configured to receive information from the object for accessing the controlled access area.
80. The apparatus of Claim 79, further comprising an access limiting device in communication with the access control system, in which the access control system is configured to control the operation of the access limiting device.
CA2481250A 2002-04-08 2003-04-08 Tailgating and reverse entry detection, alarm, recording and prevention using machine vision Expired - Fee Related CA2481250C (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US37083702P 2002-04-08 2002-04-08
US60/370,837 2002-04-08
PCT/US2003/011216 WO2003088157A1 (en) 2002-04-08 2003-04-08 Tailgating and reverse entry detection, alarm, recording and prevention using machine vision

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CA2481250A1 true CA2481250A1 (en) 2003-10-23
CA2481250C CA2481250C (en) 2011-09-27

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US (2) US7382895B2 (en)
EP (1) EP1493130A1 (en)
AU (1) AU2003221893A1 (en)
CA (1) CA2481250C (en)
WO (1) WO2003088157A1 (en)

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