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Real-time Tracking of Multiple Persons using Multi-modal Information

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2010, 5(4), pp.59-67
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : August 31, 2010

김현우 1

1한독미디어대학원대학교

Candidate

ABSTRACT

This paper presents a real-time tracking method of multiple persons using stereo from a top-down view. Tracking in a top-down view is effective to overcome occlusion problem among multiple persons, but visual cues are weak and depth estimation isn’t accurate enough especially when wide-view lenses are used to cover large field of view. We approach the problem with a two-step probabilistic method: deterministic and stochastic searches. The deterministic search reduces the candidate locations/scales of the tracking objects by maximizing a 1-D rotation/scale-invariant depth similarity. Then, a customized particle filter is followed to finely estimate the locations/scales of the object by a 2-D search in a stochastic manner. The depth similarities from the previous deterministic search are incorporated into the stochastic particle filter as an importance function. Finally, the proposed algorithm has been tested on various situations and evaluated quantitatively in a person counting scenario.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.