Algorithm of robust object tracking using PTZ camera

An efficient algorithm which robustly tracked a moving object in real-time using pan/tilt/zoom(PTZ) camera was proposed.Noise and interference were detected and stored in a spatial model after calculating the covariance of image sequence.Highly sensitive and selective motion detection of later frames was achieved by comparing later covariance with the spatial model.The detection threshold of each region was carefully measured to reduce noise and constant interference.The number of frames to calculate covariance automatically changed according to environment such as light,signal to noise ratio(SNR),and speed of the motion.An optimization method to calculate the covariance was proposed.Experimental results show that the algorithm worked robustly in various kinds of environments.