Anomalous stationary object detection and reporting
AssigneeOmni AI, Inc.
InventorsGang Xu, Wesley Kenneth Cobb
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AssigneeOmni AI, Inc.
InventorsGang Xu, Wesley Kenneth Cobb
Estimating the term…
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 an observed degree at an 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.
A computer-implemented method, comprising:
Dependencies are inferred from the claim text.