Motion recognition has received increasing attention in recent years owing to heightened demand for
computer vision in many domains, including the surveillance system, multimodal human computer
interface, and trac control system. Most conventional approaches classify the motion recognition task
into partial feature extraction and time-domain recognition subtasks. However, the information of motion
resides in the space-time domain instead of the time domain or space domain independently, implying that
fusing the feature extraction and classication in the space and time domains into a single fr a mework is
preferred.