Fast and robust human detection method in range map of complex environment

Moon soo Ra, Hoon Jo, Whoi Yul Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With increasing need of human-computer interfaces, pose estimation or gesture recognition has drawn a lot of attentions. Since humans are one of the subjects of human-computer interfaces, human detection is required as a preprocessing step for human-computer interaction system. In this paper, we propose a fast and robust human detection method by using a range map. Instead of finding exact shape of human in the range map, the proposed method uses static background modeling and labeling technique. The proposed method is robust against self-occlusions and can separate undesirably merged labels. The experiments show that the proposed method efficiently produces foreground regions within 10 ms. Due to its low complexity, the proposed method can be extended to restricted environments such as mobile or embedded systems.

Original languageEnglish
Title of host publicationProceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013
EditorsHamid R. Arabnia, Leonidas Deligiannidis, Joan Lu, Fernando G. Tinetti, Jane You, George Jandieri, Gerald Schaefer, Ashu M. G. Solo, Vladimir Volkov
PublisherCSREA Press
Pages534-537
Number of pages4
ISBN (Electronic)1601322534, 9781601322531
Publication statusPublished - 2013 Jan 1
Event2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013 - Las Vegas, United States
Duration: 2013 Jul 222013 Jul 25

Publication series

NameProceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013
Volume2

Conference

Conference2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013
CountryUnited States
CityLas Vegas
Period13/07/2213/07/25

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Keywords

  • Complex environment
  • Foreground detection
  • Human detection
  • Pose variations
  • Range map

Cite this

Ra, M. S., Jo, H., & Kim, W. Y. (2013). Fast and robust human detection method in range map of complex environment. In H. R. Arabnia, L. Deligiannidis, J. Lu, F. G. Tinetti, J. You, G. Jandieri, G. Schaefer, A. M. G. Solo, ... V. Volkov (Eds.), Proceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013 (pp. 534-537). (Proceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013; Vol. 2). CSREA Press.