Predator-Prey Biogeography-Based Optimization for Bio-inspired Visual Attention
- DOI
- 10.1080/18756891.2013.820957How to use a DOI?
- Keywords
- Biogeography-Based Optimization (BBO), visual attention, saliency, feature combination, predator-prey
- Abstract
Visual attention mechanism is one of the important techniques in computer vision field, and it can increase the effectiveness of computer image information processing. Biogeography-Based Optimization (BBO) is a bioinspired algorithm for global optimization, searching for the global optimum mainly through two steps: migration and mutation. In this paper, a novel Predator-Prey Biogeography-Based Optimization (PPBBO) is utilized to solve the bio-inspired visual attention problem. In PPBBO method, BBO is combined with the mechanism of predatorprey, which can enhance the global convergence of the algorithm. The convergence property of the PPBBO is analyzed theoretically, and the detailed process is also given. Comparative experimental results with basic BBO, CBBO, CPPBBO, and Particle Swarm Optimization (PSO) demonstrate the feasibility and effectiveness of our presented PPBBO for adjusting combination of feature maps in visual attention.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Xiaohua Wang AU - Haibin Duan PY - 2013 DA - 2013/11/01 TI - Predator-Prey Biogeography-Based Optimization for Bio-inspired Visual Attention JO - International Journal of Computational Intelligence Systems SP - 1151 EP - 1162 VL - 6 IS - 6 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2013.820957 DO - 10.1080/18756891.2013.820957 ID - Wang2013 ER -