An Adaptive Video Acquisition Scheme for Object Tracking. Banerjee, S., Serra, J. G., Chopp, H. H., Cossairt, O., & Katsaggelos, A. K. In 2019 27th European Signal Processing Conference (EUSIPCO), pages 1-5, Sep., 2019.
An Adaptive Video Acquisition Scheme for Object Tracking [pdf]Paper  doi  abstract   bibtex   
In this paper, we propose an adaptive host-chip system for video acquisition constrained under a given bit rate to optimize object tracking performance. The chip is an imaging instrument with limited computational power consisting of a very high-resolution focal plane array (FPA) that transmits quadtree (QT)-segmented video frames to the host. The host has unlimited computational power for video analysis. We find the optimal QT decomposition to minimize a weighted rate distortion equation using the Viterbi algorithm. The weights are user-defined based on the class of objects to track. Faster R-CNN and a Kalman filter are used to detect and track the objects of interest respectively. We evaluate our architecture's performance based on the Multiple Object Tracking Accuracy (MOTA).

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