2017
Chained Multi-Stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection
ICCV 2017poster
General human action recognition requires understanding of various visual cues. In this paper, we propose a network architecture that computes and integrates the most important visual cues for action recognition: pose, motion, and the raw images. For the integration, we introduce a Markov chain mode…