Title :
Particle Swarms as Video Sequence Inhabitants For Object Tracking in Computer Vision
Author :
Antón-Canalís, Luis ; Hernández-Tejera, Mario ; Sánchez-Nielsen, Elena
Author_Institution :
IUSIANI, Gran Canaria
Abstract :
A solution based on a swarm intelligence metaphor with a prey-predator scheme is proposed for real time object tracking in video sequences, which is a basic process in multiple computer vision tasks. Swarm predator particles fly on a Boid-like fashion over image prey pixels, using combined image features to guide individual movement rules. Object tracking emerges from interaction between predator particles and their environment. The paper includes method´s description and experimental evaluations on video streams that illustrate the efficiency of swarm based methods in different vision tasks
Keywords :
computer vision; image sequences; particle swarm optimisation; predator-prey systems; video signal processing; Boid-like fashion; computer vision; image features; image prey pixel; particle swarms; prey-predator scheme; real time object tracking; swarm intelligence metaphor; swarm predator; video sequence inhabitants; video streams; Ant colony optimization; Application software; Computer vision; Particle swarm optimization; Particle tracking; Pixel; Robust stability; Robustness; Target tracking; Video sequences;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.253905
