Multi-stream CNN: Learning representations based on human-related regions for action recognition.

•Presenting a multi-stream CNN architecture to incorporate multiple complementary features trained in appearance and motion networks.•Demonstrating that using full-frame, human body, and motion-salient body part regions together is effective to improve recognition performance.•Proposing methods to detect the actor and motion-salient body part precisely.•Verifying that high-quality flow is critically important to learn accurate video representations for action recognition.