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http://dx.doi.org/10.7471/ikeee.2015.19.2.155

A Speed-up Method of Pedestrian Detection in Realtime Image  

Lee, Yun-Gu (Dept. of Computer Engineering, Hanbat University)
Lee, Jae-Heung (Dept. of Computer Engineering, Hanbat University)
Publication Information
Journal of IKEEE / v.19, no.2, 2015 , pp. 155-159 More about this Journal
Abstract
In this paper, we propose a method for pedestrian detection in real time video and reducing the calculation time of the HOG features for pedestrian detection. When the pedestrian is detected in real-time image, the next frame is detected by using a previously detected region information. In addition, we used a PSO to detect a pedestrian may appear in a region other than a pedestrian is detected quickly. the performance was measured for MIT, INRIA dataset, showed a performance increase of about 82% than the conventional method.
Keywords
HOG; Feature; Pedestrian; Realtime Image; PSO;
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