Name
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ISDA.2006.253905 | ISDA (2) |
Keywords | Field | DocType |
predator particle,particle swarms,boid-like fashion,different vision task,image prey pixel,multiple computer vision task,object tracking,video sequence inhabitants,video stream,combined image feature,swarm predator particle,computer vision,video sequence,swarm intelligence,particle swarm,image features | Computer vision,Swarm behaviour,Pattern recognition,Feature (computer vision),Computer science,Swarm intelligence,Video tracking,Pixel,Artificial intelligence,Particle | Conference |
Volume | ISBN | Citations |
2 | 0-7695-2528-8 | 9 |
PageRank | References | Authors |
0.56 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis Antón-canalís | 1 | 31 | 4.95 |
| Mario Hernandez-Tejera | 2 | 9 | 0.56 |
| Elena Sanchez-Nielsen | 3 | 35 | 4.73 |
| Anton-Canalis, L. | 4 | 9 | 0.56 |
| Hernandez-Tejera, M. | 5 | 9 | 0.56 |
| Sanchez-Nielsen, E. | 6 | 9 | 0.56 |