• DocumentCode
    3151453
  • 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
  • fYear
    2013
  • fDate
    15-19 July 2013
  • Firstpage
    1
  • Lastpage
    6
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2013 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2013.6607478
  • Filename
    6607478