Group stochastic search for object detection and tracking
Murray Evans, James M. Ferryman · 2006
A technique is presented for locating and tracking objects in cluttered environments. Agents are randomly distributed across the image, and subsequently grouped around targets. Each agent uses a weightless neural network and a histogram intersection technique to score its location. The system has been used to locate and track a head in 320/spl times/240 resolution video at up to 15 fps.