ANOMALOUS STATIONARY OBJECT DETECTION AND REPORTING
First Claim
1. A computer-implemented method for analyzing a scene depicted in an input stream of video frames captured by a video camera, the method comprising:
- determining, via one or more processors, whether an object has remained at an observed location in the scene for at least a threshold period;
determining whether the object has remained substantially stationary during the threshold period;
if the object is determined to have remained substantially stationary and remained within the scene for at least the threshold period, determining a rareness score for the object, wherein the rareness score indicates a likelihood of the object being substantially stationary at the observed location, and wherein the rareness score is determined based at least on a learned model of previous object behavior within the scene; and
upon determining the rareness score exceeds a threshold, generating an alert.
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Accused Products
Abstract
Techniques are disclosed for analyzing a scene depicted in an input stream of video frames captured by a video camera. The techniques include receiving data for an object within the scene and determining whether the object has remained substantially stationary within the scene for at least a threshold period. If the object is determined to have remained stationary for at least the threshold period, a rareness score is calculated for the object to indicate a likelihood of the object being stationary to the observed degree at the observed location. The rareness score may use a learning model to take into account previous stationary and/or non-stationary behavior of objects within the scene. In general, the learning model may be updated based on observed stationary and/or non-stationary behaviors of the objects. If the rareness score meets reporting conditions, the stationary object event may be reported.
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Citations
20 Claims
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1. A computer-implemented method for analyzing a scene depicted in an input stream of video frames captured by a video camera, the method comprising:
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determining, via one or more processors, whether an object has remained at an observed location in the scene for at least a threshold period; determining whether the object has remained substantially stationary during the threshold period; if the object is determined to have remained substantially stationary and remained within the scene for at least the threshold period, determining a rareness score for the object, wherein the rareness score indicates a likelihood of the object being substantially stationary at the observed location, and wherein the rareness score is determined based at least on a learned model of previous object behavior within the scene; and upon determining the rareness score exceeds a threshold, generating an alert. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A non-transitory computer-readable storage medium storing instructions, which when executed by a computer system, perform operations for analyzing a scene depicted in an input stream of video frames captured by a video camera, the operations comprising:
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determining, via one or more processors, whether an object has remained at an observed location in the scene for at least a threshold period; determining whether the object has remained substantially stationary during the threshold period; if the object is determined to have remained substantially stationary and remained within the scene for at least the threshold period, determining a rareness score for the object, wherein the rareness score indicates a likelihood of the object being substantially stationary at the observed location, and wherein the rareness score is determined based at least on a learned model of previous object behavior within the scene; and upon determining the rareness score exceeds a threshold, generating an alert. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A system, comprising:
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a processor; and a memory, wherein the memory includes an application program configured to perform operations for analyzing a scene depicted in an input stream of video frames captured by a video camera, the operations comprising; determining, via one or more processors, whether an object has remained at an observed location in the scene for at least a threshold period, determining whether the object has remained substantially stationary during the threshold period, if the object is determined to have remained substantially stationary and remained within the scene for at least the threshold period, determining a rareness score for the object, wherein the rareness score indicates a likelihood of the object being substantially stationary at the observed location, and wherein the rareness score is determined based at least on a learned model of previous object behavior within the scene, and upon determining the rareness score exceeds a threshold, generating an alert. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification