標題: | VP-TRANSFORM: A NOVEL VANISHING POINT-BASED IMAGE TRANSFORM FOR ENHANCEMENT OF PEOPLE LOCALIZATION |
作者: | Lin, Yen-Shuo Lo, Kuo-Hua Chen, Hua-Tsung Chuang, Jen-Hui 資訊工程學系 Department of Computer Science |
關鍵字: | Image transform;people localization;video surveillance;multiple cameras;probabilistic occupancy map |
公開日期: | 1-Jan-2013 |
摘要: | The widespread use of vision-based surveillance systems has inspires many research efforts on people localization. In this paper, a novel nonlinear image transform based on the vanishing point of vertical lines, entitled VP-transform, is proposed for enhancement of the people localization scheme proposed in [1]. Utilizing the characteristic that the extensions of vertical lines intersect at a vanishing point, the proposed transformation aims at producing rectified images wherein each standing/walking person will have an upright appearance. Thus, the degradation in localization accuracy, due to deviation of the constraint of camera configuration specified in [1], can be alleviated. Experimental results validate the effectiveness of the proposed image transform that significant improvement in people localization can be achieved. |
URI: | http://hdl.handle.net/11536/124955 |
ISBN: | 978-1-4799-0015-2 |
ISSN: | 1945-7871 |
期刊: | 2013 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME 2013) |
Appears in Collections: | Conferences Paper |