Optical Flow-Based Person Tracking by Multiple Cameras

This paper describes an optical flow-based person tracking method using multiple cameras in indoor environments. There are usually several objects in indoor environments which may obstruct a camera view. If we use only one camera, tracking may fail when the target person is occluded by other objects. This problem can be solved by using multiple cameras. In our method, each camera tracks the target person independently. By exchanging information among cameras, the three dimensional position and the velocity of the target are estimated. When a camera loses the target by occlusion, the target position and velocity in the image are estimated using information from other cameras which are tracking the target.