DocumentCode :
2294020
Title :
Object Localization Based on Global Structure Constraint Model and Particle Swarm Optimization
Author :
Liu, Miao ; Guo, Dongwei ; Ma, Jie ; Zhou, Chunguang ; Wang, Congshi
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Jilin
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
315
Lastpage :
318
Abstract :
In this paper, the global structure constraint model (GSC) is used to present the target objects, and the evolutionary algorithm, particle swarm optimization (PSO) is exploited for searching the optimal status of the target in the new images. The experimental results show that this method can achieve effective results.
Keywords :
evolutionary computation; face recognition; object recognition; particle swarm optimisation; evolutionary algorithm; global structure constraint model; object localization; particle swarm optimization; Computer science; Computer vision; Educational institutions; Evolutionary computation; Face; Geometry; Humans; Object recognition; Particle swarm optimization; Shape measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering, 2008. CSE '08. 11th IEEE International Conference on
Conference_Location :
Sao Paulo
Print_ISBN :
978-0-7695-3193-9
Type :
conf
DOI :
10.1109/CSE.2008.28
Filename :
4578248
Link To Document :
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