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If object detection fails, a visual object tracking algorithm (e.g. CSRT) might be used as fallback. If object detection fails for a certain amount of consecutive frames, the object should still be considered lost.
The candidate returned from the visual object tracking algorithm might also be used/considered to re-identify the target object from the candidates of the object detection algorithm.
If object detection fails, a visual object tracking algorithm (e.g. CSRT) might be used as fallback. If object detection fails for a certain amount of consecutive frames, the object should still be considered lost.
The candidate returned from the visual object tracking algorithm might also be used/considered to re-identify the target object from the candidates of the object detection algorithm.
Useful article: https://learnopencv.com/object-tracking-using-opencv-cpp-python/
See also https://github.com/maiermic/robot-cameraman/blob/master/research.md#object-tracking-1
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