Toward spatial tracking in multiple camera environment

This paper presents a spatial tracking system in a multiple camera environment. As a part of a general distributed sensing and system where the task of monitoring and tracking can be synchronized and divided between each of the modules, this multiple camera system covers a wider field of view, and detects moving objects by means of motion-based visual tracing. Based on camera calibration and geometry of multiple views, we propose some preliminary results for utilizing multiple cameras to reconstruct the spacial motion and trajectory of the object by establishing correlated mopping between the 2D projective images of the cameras.