Title :
Face identification using an omnidirectional image sequence
Author :
Ohara, Yu ; Yagi, Yasushi ; Yokoyama, Taro ; Yachida, Masahiko
Author_Institution :
Dept. of Syst. & Human Sci., Osaka Univ., Japan
Abstract :
Face is one of the most attractive information for personal identification. In this paper, we propose the face identification method from an omnidirectional image sequence. Since the omnidirectional image sensor, HyperOmni Vision, observes a 360-degree view around the robot, it can observe a global azimuth information of the person (face). It tracks the human face while the person walks around the camera. Under an assumption of smooth human motion, we identify the corresponding person from facial database.
Keywords :
computer vision; face recognition; image sensors; image sequences; real-time systems; tracking; HyperOmni Vision; face recognition; global azimuth information; image sequence; omnidirectional image sequence; omnidirectional vision; person tracking; real time systems; Azimuth; Cameras; Face detection; Face recognition; Facial features; Humans; Image recognition; Image resolution; Image sequences; Surveillance;
Conference_Titel :
Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on
Print_ISBN :
0-7803-7398-7
DOI :
10.1109/IRDS.2002.1041401
