New method for detecting and tracking of moving target based on difference and invariant

A new method for detecting and tracking moving target is proposed based on combination of image difference and feature invariant. A more complete and clear contour is acquired using three-frame difference. A feature invariant is constituted without influence of object size change, shifting, and rotation based the contour. Then a dynamic extremum-matching method is proposed for recognizing and matching the object based on extreme point information and replacing the former mold-plate with the new one. The experimental results indicate that the method can successfully detect moving target and accurately estimate its trajectory in the image sequence with less memory even when the object figure is changed during movements. Moreover, it is efficient and adaptable for real-time target detecting and tracking, and it can meet the demands in real-time detecting and tracking moving targets.