Action Detection System Based on Pose Information

This paper introduces an action detection system based on pose information. The system utilizes view-invariant pose feature not relying on machine learning techniques, and it can detect human actions regardless of camera settings thus it is easy to apply for any target actions. System users only need to register sample images including target actions beforehand. In detection phase, the system receives an image from live camera at short intervals and computes the similarity between captured image and each pre-registered sample image. If the similarity is higher than the specified threshold, the system judges the target action is detected. We evaluated the detection performance of a common action "phone-call" using cellphone and confirmed its effectiveness.