Motion of disturbances: Detection and tracking of multi-body non-rigid motion

Gilad Halevi*, Daphna Weinshall

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

17 Scopus citations

Abstract

We present a new approach to the tracking of very non rigid patterns of motion, such as water flowing down a stream. The algorithm is based on a `disturbance map,' which is obtained by linearly subtracting the temporal average of the previous frames from the new frame. Every local motion creates a disturbance having the form of a wave, with a `head' at the present position of the motion and a historical `tail' that indicates the previous locations of that motion. These disturbances serve as loci of attraction for `tracking particles' that are scattered throughout the image. The algorithm is very fast and can be performed in real time. We provide excellent tracking results on various complex sequences, using both stabilized and moving cameras, showing: a busy ant column, waterfalls, rapids and flowing streams, shoppers in a mall, and cars in a traffic intersection.

Original languageAmerican English
Pages (from-to)897-902
Number of pages6
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
StatePublished - 1997
EventProceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - San Juan, PR, USA
Duration: 17 Jun 199719 Jun 1997

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