Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos
IEEE Transactions on Circuits and Systems for Video Technology, Volume abs/1810.06827, 2017.
Activity recognition in videos in a deep-learning setting—or otherwise—uses both static and pre-computed motion components. The method of combining the two components, whilst keeping the burden on the deep network less, still remains uninvestigated. Moreover, it is not clear what the level of contribution of individual components is, and ...More
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