Title :
VP-transform: A novel vanishing point-based image transform for enhancement of people localization
Author :
Yen-Shuo Lin ; Kuo-Hua Lo ; Hua-Tsung Chen ; Jen-Hui Chuang
Author_Institution :
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
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.
Keywords :
image enhancement; transforms; video surveillance; VP-transform; camera configuration; novel nonlinear image transform; novel vanishing point-based image transform; people localization scheme; vertical lines; vision-based surveillance systems; Cameras; Estimation; Head; Legged locomotion; Security; Shape; Transforms; Image transform; multiple cameras; people localization; probabilistic occupancy map; video surveillance;
Conference_Titel :
Multimedia and Expo (ICME), 2013 IEEE International Conference on
Conference_Location :
San Jose, CA
DOI :
10.1109/ICME.2013.6607478