Simultaneous body part and motion identification for human-following robots
We propose a method achieving body part and motion identification simultaneously. Part and motion are treated as combined continuous and discrete labels. We formulate the problem into a structured learning framework. The evaluation is done on actual videos and videos from the public datasets.
structured learning partial body identification motion recognition