Action detection is one of the most challenging tasks in video processing. It can be useful in security systems and closed-circuit television (CCTV), emotion and gesture tracking, sport event analytics, behavior observation, statistics gathering, etc.
In one of our recent projects, we were challenged with the task of detecting a particular human action in a high-resolution video. In this article, we talk about the importance of finding a balance between accuracy and performance, the challenges we faced with dataset preparation and network configuration, and how these problems can be solved.
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