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Multiple Pedestrians Detection using Motion Information and Support Vector Machine from a Moving Camera Image  

Lim, Jong-Seok (영남대학교)
Park, Hyo-Jin (영남대학교)
Kim, Wook-Hyun (영남대학교)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.12, no.4, 2011 , pp. 250-257 More about this Journal
Abstract
In this paper, we proposed the method detecting multiple pedestrians using motion information and SVM(Support Vector Machine) from a moving camera image. First, we detect moving pedestrians from both the difference image and the projection histogram which is compensated for the camera ego-motion using corresponding feature sets. The difference image is simple method but it is not detected motionless pedestrians. Thus, to fix up this problem, we detect motionless pedestrians using SVM The SVM works well particularly in binary classification problem such as pedestrian detection. However, it is not detected in case that the pedestrians are adjacent or they move arms and legs excessively in the image. Therefore, in this paper, we proposed the method detecting motionless and adjacent pedestrians as well as people who take excessive action in the image using motion information and SVM The experimental results on our various test video sequences demonstrated the high efficiency of our approach as it had shown an average detection ratio of 94% and False Positive of 2.8%.
Keywords
Support Vector Machine; Difference Image; Ego-motion; Projection Histogram;
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