System and methods for improving accuracy and robustness of abnormal behavior detection

A behavioral, anomalous technique, applied in the field of systems of accuracy and robustness, capable of solving problems such as models that define anomalous behavior

Inactive Publication Date: 2012-01-18
PANASONIC CORP
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  • System and methods for improving accuracy and robustness of abnormal behavior detection
  • System and methods for improving accuracy and robustness of abnormal behavior detection
  • System and methods for improving accuracy and robustness of abnormal behavior detection

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Embodiment Construction

[0030] The following description is merely exemplary in nature and does not limit the disclosure, its application and uses in any way. For purposes of brevity, the same reference numbers will be used in the drawings to identify similar elements. As used herein, the phrase at least one of A, B, and C should be understood to mean a logical (A or B or C) using a non-exclusive logical or. It should be understood that steps within a method may be executed in different order without altering the principles of the present disclosure.

[0031] As used herein, the term module may refer to an application-specific integrated circuit (ASIC), circuit, processor (shared, dedicated, or group) and / or memory (shared, dedicated, or group) that executes one or more software or firmware programs. group), combinational logic circuits, and / or suitable components that provide the described functionality or are part of it.

[0032] Typical systems and methods for detecting abnormal motor behavior can...

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Abstract

A surveillance system improves accuracy and robustness of abnormal behavior detection of a monitored object traversing a space includes a metadata processing module, a model building module, and a behavior assessment module. The metadata processing module generates trajectory information for a monitor object and determines attributes of the monitored object. The model building module at least one of generates and updates normal motion models based on at least one of the trajectory information, the attributes, and an abnormal behavior score. The behavior assessment module generates the abnormal behavior score based on one of a plurality of methods. A first one of the plurality of methods defines wrong direction behavior. A second one of the plurality of methods defines wandering/loitering behavior. A third one of the plurality of methods defines speeding behavior.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to U.S. Serial No. 12 / 496681, filed July 2, 2009, and claims the benefit of U.S. Provisional Application No. 61 / 153884, filed February 19, 2009, the entire contents of which are incorporated by reference combined here. technical field [0003] The present disclosure relates to surveillance systems, and more particularly to systems and methods for improving the accuracy and robustness of automatic anomalous behavior detection in video surveillance systems. Background technique [0004] A typical surveillance system includes multiple sensors that can collect data and / or monitor for security threats based on predetermined conditions. By way of example only, the plurality of sensors may include video cameras. A typical video surveillance system may include multiple video cameras monitoring a large geographic area. By way of example only, a large geographic area could be a warehouse. Ea...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG08B13/19641G08B13/19613G08B13/19608G06K9/00771G06T7/20H04N7/181G06V20/52G08B13/196H04N7/18G06V10/10
Inventor 李国柱哈桑·蒂穆钦·厄兹代米尔余鹃施项君
Owner PANASONIC CORP
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