Human Action Recognition Based on Selected Spatio-Temporal Features via Bidirectional LSTM
Recently, many deep convolutional networks approaches have been proposed for human action recognition.The challenge is to capture complementary information from still and motion frames.In contrast to previous models, which use holistic clips to model spatial information and traditional temporal information for sequential Glass Hardware processing,