Action recognition by using trajectories from omnidirectional images

This paper proposes methods for tracking people in omnidirectional images and for recognizing actions by using trajectories. Using trajectories of action patterns reduces limitations of human motion rather than a method such as HMM. We use an omnidirectional image sensor for tracking many people for a long time in this paper. We conduct experiments for evaluation of the proposed method.