OBJECT CLASSIFICATION USING MACHINE LEARNING AND OBJECT TRACKING

摘要

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.