Abstract: Provided are methods, apparatus, and computer-readable mediums for tracking objects that intersect with an exclusion zone defined for a scene being captured by a video camera. An exclusion zone can delineate an area of a video frame where background objects may be moving. The exclusion zone informs an object tracking system that objects within the exclusion zone should not be tracked. In various implementations, the object tracking system can determine that a bounding box for a blob intersects with the exclusion zone. The object tracking system can further, based on the bounding box intersecting with the exclusion zone, prevent outputting of a blob tracker associated with the blob.

Abstract: Techniques and systems are provided for tracking objects in one or more video frames. For example, a candidate bounding box for an object tracker can be obtained based on an application of an object detector to at least one key frame in the one or more video frames, the candidate bounding box being associated with one or more input attributes. A set of metrics indicating a degree of change of one or more physical attributes of the object can also be determined. Based on the set of metrics, it can be determined whether to post-process the input attributes to generate one or more output attributes of a current output bounding box. An object can be tracked in a current frame using the current output bounding box.

Abstract: Provided are methods, apparatus, and computer-readable mediums for tracking objects that intersect with an exclusion zone defined for a scene being captured by a video camera. An exclusion zone can delineate an area of a video frame where background objects may be moving. The exclusion zone informs an object tracking system that objects within the exclusion zone should not be tracked. In various implementations, the object tracking system can determine that a bounding box for a blob intersects with the exclusion zone. The object tracking system can further, based on the bounding box intersecting with the exclusion zone, prevent outputting of a blob tracker associated with the blob.

Abstract: Techniques and systems are provided for classifying objects in one or more video frames. For example, one or more bounding regions are determined for a current video frame of a scene. The one or bounding regions are determined based on object tracking performed for one or more blobs detected for the current video frame. The one or more bounding regions are associated with the one or more blobs. A blob includes pixels of at least a portion of one or more objects in the current video frame. One or more regions of interest are determined in the current video frame of the scene. The one or more regions of interest are determined using the one or more bounding regions determined for the current video frame. One or more objects within the one or more regions of interest are classified using a trained network applied to the one or more regions of interest.