An adaptive center of mass detection system employing a 2-D dynamic element matching algorithm for object tracking

An adaptive high precision image object centroid center of mass (COM) detection system employing a 2-D dynamic element matching (DEM) algorithm for object tracking is presented. This proposed system outputs a high resolution COM location of the most salient object in the field of view for tracking and navigation purposes and is suitable for real time applications. Precomputation object detection is performed by a low resolution mixed signal winner-take-all (WTA) circuit. In this work, the COM computation algorithm parameters are adaptively changed according to the object size, enabling lowering object scanning frequency, but still providing a high precision in the object COM location. Simulation results prove the concept and demonstrate the high precision COM detection result. In addition, a possible hardware implementation is described.