Real-time automatic target tracking based on spatio-temporal gradient method with generalized least square estimation

The result of a spatio-temporal gradient (STG) method with generalized least square estimation (GLSE) is presented for the detection of an object motion in an image sequence corrupted by additive white noise. The proposed method is applied to an automatic target tracker using a high speed 16-bit microprocessor in order to track one moving target in real time. Experimental results show that the proposed method has much better performance over the conventional one with least square estimation (LSE)