Continuous Multi-Views Tracking using Tensor Voting

  • Authors:
  • Jinman Kang;Isaac Cohen;Gerard Medioni

  • Affiliations:
  • -;-;-

  • Venue:
  • MOTION '02 Proceedings of the Workshop on Motion and Video Computing
  • Year:
  • 2002

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Abstract

This paper presents a new approach for continuoustracking of moving objects observed by multiple fixed cameras.The continuous tracking of moving objects in eachview is realized using a Tensor Voting based approach. Weinfer objects trajectories by performing a perceptualgrouping in 2D+t using Tensor Voting. Also, a multi-scaleapproach bridging gaps in object trajectories is presented.The trajectories obtained from the multiple cameras areregistered in space and time allowing a synchronization ofthe video streams and a continuous tracking of objectsacross multiple views. We demonstrate the performance ofthe system on several real video surveillance sequences.