Research and application of identification method of indoor occupancy in office buildings

The research on occupant behavior is mainly including two aspects: occupancy and occupant’s action. The premise of the research and application is the acquisition of behavior data, and regarding the occupancy is the real-time indoor occupancy. In the view of related needs of this research domain, proposes that the acquisition of occupancy data should realize the dynamic and automatic identification of the number and location of occupants, and effectively protect the privacy consideration. Furthermore, based on the image classification and skeletal tracking technology, develops the dynamic indoor occupancy identification program with Kinect connection (DIOIK), and the average identification accuracy is 93.57% through a 4 hours of video verification.