Abstract
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.
Original language | English |
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Title of host publication | Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance 2005 |
Subtitle of host publication | AVSS2005 |
DOIs | |
Publication status | Published - Oct 2005 |