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Top-Down Deep Appearance Attention for Action Recognition
[chapter]
2017
Lecture Notes in Computer Science
Recognizing human actions in videos is a challenging problem in computer vision. Recently, convolutional neural network based deep features have shown promising results for action recognition. In this paper, we investigate the problem of fusing deep appearance and motion cues for action recognition. We propose a video representation which combines deep appearance and motion based local convolutional features within the bag-of-deep-features framework. Firstly, dense deep appearance and motion
doi:10.1007/978-3-319-59126-1_25
fatcat:fcz7jxqy2vgpbbq5xh7eq3pn7a