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�������պ����ѧѧ�� 2011, Vol. 37 Issue (10) :1303-1307    DOI: CNKI:11-2625/V.20111013.1436.004
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Fast target detection based on area prediction and visual attention computation
Liu Qiong, Qin Shiyin*
School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� A new method of fast target detection was proposed with combination of area prediction and modeling computation of visual attention (VA). A rule set to predict target area was established based on the analysis of three feature parameters in three horizontal subareas: grayscale rate, entropy and its position. Meanwhile, the VA computational model was improved by optimizing the selected features and optimizing contribution weights of feature maps. Given an image to be detected, the target area was predicted according to the rule set. Then, the VA modeling computation was carried out only in the predicted areas. The experiment results demonstrate that in the task of detecting pedestrian in outdoor scene, the proposed method can reduce the detection time by 30% and enhance the detection accuracy by 9% in comparison with the traditional method.
Keywords�� target detection   area prediction   computational modeling of visual attention   pedestrian in outdoor scene     
Received 2010-06-17;
Fund:

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About author: �� �� (1984-),Ů,����¦����,��ʿ��,qiongniu@asee.buaa.edu.cn.
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Liu Qiong, Qin Shiyin.Fast target detection based on area prediction and visual attention computation[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2011,V37(10): 1303-1307
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http://bhxb.buaa.edu.cn//CN/CNKI:11-2625/V.20111013.1436.004     ��     http://bhxb.buaa.edu.cn//CN/Y2011/V37/I10/1303
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