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This paper designs and implements a combined YOLOv3-Tiny model and the KCF target tracking algorithm which is capable of tracking specific targets in real time. The NX development board we used is an embedded terminal with small memory, low power consumption and low cost.
The target detection model for the red ball is 89.93 FPS; the target tracking model for the car tracking the red ball is 50.12 FPS. Allowing the YOLOv3-Miniature Target Detection and KCF Target Tracking system to run for one minute and taking its average speed, the system achieves a total inference speed of 61.35 FPS on the NX platform.
We used a home-made dataset, and several more datasets will be added in subsequent optimisations for further refinement and comparison.
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IEEE/ICACT20220027 Slide.04
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