Tracking 3D human body using particle filter in moving monocular camera

Sungmin Kim, Chang Beom Park, Seong Whan Lee

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

11 Citations (Scopus)

Abstract

In this paper, we propose a method for human tracking using 3D human body model in a video sequence with a monocular moving camera. Tracking a human with unconstrained movement in moving monocular camera image sequence is extremely challenging. Our 3D human body model which is formed with articulation model of hierarchical tree structure can express all human's movement by parameters. We can obtain 3D human body model which has the most similar shape with input image through similarity matching. In order to predict the region and movement of human using 3D human body model in the obtained current frame, we use the particle filter which predicts the posterior distribution by the random probability variable based on Monte Carlo sampling. As a result, it can be possible to track robustly for human 's motion and random movement of camera in the environment with moving camera. We can get the result of converging toward minimized error values using boundary distance between a predicted 3D human body model and an input image. In the result of experiment, the proposed method showed correct tracking result for complex background and various human movements.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
Pages805-808
Number of pages4
Volume4
DOIs
Publication statusPublished - 2006
Event18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
Duration: 2006 Aug 202006 Aug 24

Other

Other18th International Conference on Pattern Recognition, ICPR 2006
CountryChina
CityHong Kong
Period06/8/2006/8/24

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Cameras
Sampling
Experiments

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture

Cite this

Kim, S., Park, C. B., & Lee, S. W. (2006). Tracking 3D human body using particle filter in moving monocular camera. In Proceedings - International Conference on Pattern Recognition (Vol. 4, pp. 805-808). [1699962] https://doi.org/10.1109/ICPR.2006.1130

Tracking 3D human body using particle filter in moving monocular camera. / Kim, Sungmin; Park, Chang Beom; Lee, Seong Whan.

Proceedings - International Conference on Pattern Recognition. Vol. 4 2006. p. 805-808 1699962.

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

Kim, S, Park, CB & Lee, SW 2006, Tracking 3D human body using particle filter in moving monocular camera. in Proceedings - International Conference on Pattern Recognition. vol. 4, 1699962, pp. 805-808, 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, China, 06/8/20. https://doi.org/10.1109/ICPR.2006.1130
Kim S, Park CB, Lee SW. Tracking 3D human body using particle filter in moving monocular camera. In Proceedings - International Conference on Pattern Recognition. Vol. 4. 2006. p. 805-808. 1699962 https://doi.org/10.1109/ICPR.2006.1130
Kim, Sungmin ; Park, Chang Beom ; Lee, Seong Whan. / Tracking 3D human body using particle filter in moving monocular camera. Proceedings - International Conference on Pattern Recognition. Vol. 4 2006. pp. 805-808
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