Title :
Cognitive swarms for rapid detection of objects and associations in visual imagery
Author :
Owechko, Yuri ; Medasani, Swarup
Author_Institution :
HRL Labs., Malibu, CA, USA
Abstract :
We have developed a new optimization-based framework for computer vision that combines ideas from particle swarm optimization (PSO) and statistical pattern recognition to rapidly and accurately detect and classify objects in visual imagery. Swarm intelligence is used to locate objects by optimizing the classification confidence level. We have used our cognitive swarm framework to rapidly detect people, ground vehicles, and boats, and to recognize behaviors based on object associations, such as people exiting and entering vehicles, for applications in security, surveillance, target recognition, and automotive active safety.
Keywords :
cognition; computer vision; image classification; object detection; particle swarm optimisation; statistical analysis; cognitive swarms; computer vision; object classification; object detection; particle swarm optimization; statistical pattern recognition; swarm intelligence; visual imagery; Boats; Computer vision; Land vehicles; Object detection; Particle swarm optimization; Pattern recognition; Road vehicles; Target recognition; Vehicle detection; Vehicle safety;
Conference_Titel :
Swarm Intelligence Symposium, 2005. SIS 2005. Proceedings 2005 IEEE
Print_ISBN :
0-7803-8916-6
DOI :
10.1109/SIS.2005.1501656