Automatic light control system using fish-eye lens camera

This paper describes a comprehensive method for detecting and tracking the human in the fish-eye image. After extracting the candidate human regions from the background modeling and motion detection, measuring the center point of motion cluster is performed. The center point is considered as human and point tracking approach is used to track the person. The fact that the proposed method can detect the human effectively is demonstrated through the experimental results.