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 320×240 resolution video at up to 15 fps.
|Title of host publication||Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance 2005|
|Subtitle of host publication||AVSS2005|
|Publication status||Published - Oct 2005|