DocumentCode :
1564942
Title :
Visual System Inspired Model for Salient Region Detection in Two Cortical Pathways
Author :
Tian, Mei ; Luo, Siwei ; Huang, Hua ; Liao, Lingzhi
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ.
Volume :
2
fYear :
2005
Firstpage :
985
Lastpage :
990
Abstract :
Inspired by the research of visual systems in neuroanatomy and psychology, a novel model for salient region detection in an image is proposed in the paper based on the "what" and "where" pathways. The operation of the model can be divided into two stages: finding and shifting salient regions. Current salient region and potential targets of an image are firstly found and marked according to statistical feature saliency. Series of next salient regions are then detected by altering different current salient region and alterative attracting force computation. Experimental results with natural images demonstrate its effectiveness and robustness
Keywords :
natural scenes; object detection; psychology; statistical analysis; visual perception; cortical pathways; natural images; neuroanatomy; psychology; salient region detection; statistical feature saliency; visual system; Computational modeling; Electronic mail; Humans; Independent component analysis; Information processing; Information technology; Psychology; Robustness; Visual perception; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
Type :
conf
DOI :
10.1109/ICNNB.2005.1614784
Filename :
1614784
Link To Document :
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