Source: http://www.google.fr/patents/US8345923
Timestamp: 2017-09-25 15:20:43
Document Index: 755241250

Matched Legal Cases: ['Application No. 60', 'Application No. 2001238024', 'Application No. 2001238024', 'Application No. 2005227502', 'Application No. 2', 'Application No. 2', 'Application No. 01910417', 'Application No. 151004', 'Application No. 151004', 'Application No. 2001', 'Application No. 2001', 'Application No. 2007', 'Application No. 200606650', 'Application No. 01910417', 'Application No. 01910417']

Brevet US8345923 - System for automated screening of security cameras - Google Brevets
The present invention involves a system for automatically screening closed circuit television (CCTV) cameras for large and small scale security systems, as used for example in parking garages. The system includes six primary software elements, each of which performs a unique function within the operation...http://www.google.fr/patents/US8345923?utm_source=gb-gplus-shareBrevet US8345923 - System for automated screening of security cameras
Numéro de publication US8345923 B2
Numéro de demande US 12/625,719
Date de dépôt 25 nov. 2009
Autre référence de publication CA2399106A1, CA2399106C, DE60131840D1, DE60131840T2, EP1266345A1, EP1266345A4, EP1266345B1, US6940998, US7643653, US8682034, US20010033330, US20050259848, US20100074472, US20130293708, WO2001057787A1
Numéro de publication 12625719, 625719, US 8345923 B2, US 8345923B2, US-B2-8345923, US8345923 B2, US8345923B2
Inventeurs Maurice V. Garoutte
Cessionnaire d'origine Cernium Corporation
Citations de brevets (141), Citations hors brevets (46), Référencé par (2), Classifications (12), Événements juridiques (5)
US 8345923 B2
1. A non-transitory processor-readable medium storing code representing instructions configured to cause a processor to:
receive a plurality of pixel values, each pixel value from the plurality of pixel values being associated with a pixel within a portion of a frame of a video image;
using the plurality of pixel values, generate at least one parameter used to segregate a background image of the video image from a moving target of the video image; and
analyze the moving target using the at least one parameter to determine whether the moving target is a vehicle or a pedestrian by comparing (1) a characteristic movement of a pedestrian with a movement of the moving target and (2) a characteristic movement of a vehicle with the movement of the moving target.
2. The non-transitory processor-readable medium of claim 1, wherein the at least one parameter includes a jaggyness parameter that indicates an offset in pixels between a plurality of odd fields of the moving target and a plurality of even fields of the moving target.
3. The non-transitory processor-readable medium of claim 1, wherein the at least one parameter includes a jaggyness parameter that indicates an offset in pixels between a plurality of odd fields of the moving target and a plurality of even fields of the moving target, the jaggyness parameter being used to determine a speed and a direction at which the moving target is moving.
4. The non-transitory processor-readable medium of claim 1, the code further comprising code representing instructions configured to cause a processor to:
determine a consistency of change in a horizontal direction of the plurality of pixel values.
5. The non-transitory processor-readable medium of claim 1, the code further comprising code representing instructions configured to cause a processor to:
determine a consistency of change in a vertical direction of the plurality of pixel values.
6. The non-transitory processor-readable medium of claim 1, the code further comprising code representing instructions configured to cause a processor to:
determine an event associated with the moving target.
7. The non-transitory processor-readable medium of claim 1, wherein the code representing instructions configured to cause a processor to analyze includes code representing instructions configured to cause a processor to compare a percentage of an area of a first portion of a bounding rectangle occupied by the moving target with a percentage of an area of a second portion of the bounding rectangle occupied by the moving target to determine if the moving target includes a head.
8. The non-transitory processor-readable medium of claim 1, wherein the code representing instructions configured to cause a processor to analyze includes code representing instructions configured to cause a processor to analyze the moving target using the at least one parameter and a ratio of a width of the moving target to a height of the moving target to determine whether the moving target is a vehicle or a pedestrian.
an analysis worker implemented in at least one of a memory or a processing device, the analysis worker configured to receive a plurality of pixel values, each pixel value from the plurality of pixel values being associated with a pixel within a portion of a frame of a video image, the analysis worker configured to filter a background image of the video image from a moving target of the video image, the analysis worker configured to compare (1) a characteristic movement of a pedestrian with a movement of the moving target and (2) a characteristic movement of a vehicle with the movement of the moving target to determine that the moving target is a pedestrian, the movement of the moving target being more similar to the characteristic movement of a pedestrian than the characteristic movement of a vehicle.
10. The apparatus of claim 9, wherein the analysis worker is configured to determine a consistency of change in a horizontal direction of the plurality of pixel values.
11. The apparatus of claim 9, wherein the analysis worker is configured to determine a consistency of change in a vertical direction of the plurality of pixel values.
12. The apparatus of claim 9, wherein the analysis worker is configured to determine an event associated with the moving target.
13. The apparatus of claim 9, wherein the analysis worker is configured to generate a jaggyness parameter that indicates an offset in pixels between a plurality of odd fields of the moving target and a plurality of even fields of the moving target, the analysis worker configured to determine a speed and a direction at which the moving target is moving based on the jaggyness parameter.
14. A non-transitory processor-readable medium storing code representing instructions configured to cause a processor to:
generate a first parameter based on a consistency of change in a horizontal direction of the plurality of pixel values;
generate a second parameter based on a consistency of change in a vertical direction of the plurality of pixel values; and
analyze, using at least the first parameter and the second parameter, a moving target within the portion of the frame of the video image to determine whether the moving target is a vehicle or a pedestrian.
15. The non-transitory processor-readable medium of claim 14, wherein the code representing instructions configured to cause a processor to analyze includes code representing instructions configured to cause a processor to compare a characteristic movement of a pedestrian with a movement of the moving target and to compare a characteristic movement of a vehicle with the movement of the moving target.
16. The non-transitory processor-readable medium of claim 14, the code further comprising code representing instructions configured to cause a processor to:
generate a third parameter that indicates an offset in pixels between a plurality of odd fields of the moving target and a plurality of even fields of the moving target; and
determine a speed and a direction at which the moving target is moving based on the third parameter.
17. The non-transitory processor-readable medium of claim 14, wherein the code representing instructions configured to cause a processor to analyze includes code representing instructions configured to cause a processor to compare a percentage of an area of a first portion of a bounding rectangle occupied by the moving target with a percentage of an area of a second portion of the bounding rectangle occupied by the moving target to determine if the moving target includes a head.
18. The non-transitory processor-readable medium of claim 14, wherein the code representing instructions configured to cause a processor to analyze includes code representing instructions configured to cause a processor to analyze the moving target using the first parameter, the second parameter and a ratio of a width of the moving target to a height of the moving target to determine whether the moving target is a vehicle or a pedestrian.
This application is a continuation of and claims the benefit of U.S. patent application Ser. No. 11/159,375, entitled “System for Automated Screening of Security Cameras,” filed Jun. 22, 2005, now U.S. Pat, No. 7,643,653 which is a divisional of U.S. patent application Ser. No. 09/773,475, now U.S. Pat. No. 6,940,998, entitled “System for Automated Screening of Security Cameras,” filed Feb. 1, 2001, which claims the priority of U.S. Provisional Patent Application No. 60/180,323, entitled “System for Automated Screening of Security Cameras,” filed Feb. 4, 2000, each of which is incorporated herein by reference in its entirety.
Analysis Workers 30 are ActiveX.RTM. EXE modules that are responsible for image analysis. ActiveX.RTM. controls are among the many types of components that use COM technologies to provide interoperability with other types of COM components and services. Analysis Worker 30 analyze the video from one camera and report activity to associated Video Supervisor 32. New frames are obtained from shared memory as directed by Video Supervisor 32. Analysis Workers 30 are VB (Visual Basic) shells responsible for communicating with Video Supervisors 32 and making upper level decisions about video activity. Low level calls to the image processing functions are performed from a DLL (Dynamic Link Library), a library of executable functions or data. All Analysis Workers 30 in PCS 10 share the DLL, and all calls to the DLL are made by Analysis Workers 30.
1). Utilities Function (.Cpp) —Contains all utility functions such as read from files and allocate/free memory.
2). Image Processing Function (.Cpp) —Contains image processing functions such as Maintain Background.
3). Image Analyses Function (.Cpp) —Contains image analysis functions that require prior segmentation.
Referring to FIG. 3, a determination as to whether the target has arms involves a series of bounding rectangles 48 over the target 49. The second and third rows of five areas (from top to bottom) of a bounding rectangle is compared to the second and third rows of the bounding rectangle from the previous frame of the target. The level of pixel change from the current frame to the previous frame determines whether the target has aims.
In accordance with space limitations for the new system, and if permitted by available space, the video activity processors can be conventional rack mounted processors. For these processors, the system may use Pentium.TM. class processors available from Intel Corporation, or other high performance board-mounted processors, each capable of serving at least eight video cameras, i.e., controlling the acquisition of video output from such cameras. As an example, a system including processors for serving some 197 cameras in using dual on-board processors may require 26 processors, each if rack-mounted being 7 inches in height and requiring some 182 inches of rack space (about three full racks) and must include a monitor.
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Classification aux États-Unis 382/103
Classification internationale G06K9/00, H04N7/18, G06T7/20, G06K9/32, G06T7/00, G06T1/00
Classification coopérative H04N7/181, G06K9/00771, H04N7/18
Classification européenne G06K9/00V4, H04N7/18C
23 avr. 2010 AS Assignment
Owner name: SENTRY ENGINEERING, INC.,MISSOURI
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:GAROUTTE, MAURICE V.;REEL/FRAME:024276/0500
Owner name: CERNIUM CORPORATION,VIRGINIA
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Owner name: CERNIUM, INC.,MISSOURI
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Owner name: SENTRY ENGINEERING, INC., MISSOURI