From optical flow to tracking objects on movie videos

Authors:
Nhat-Tan Nguyen;Alexandra Branzan-Albu;Denis Laurendeau
Affiliations:
Computer Vision and Systems Laboratory, Laval University, Quebec, Canada;Computer Vision and Systems Laboratory, Laval University, Quebec, Canada;Computer Vision and Systems Laboratory, Laval University, Quebec, Canada
Venue:
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Year:
2011

Citing 5
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Abstract

This paper addresses the problem of tracking human motion in a movie sequence involving camera movement. We have developed an approach to track the bounding box of a human in motion without using any particular model. This method exploits motion vector fields from the image, then subtracts the motion caused by the camera to obtain the segmentation of the object. In addition, we introduce a multilevel tracking approach. This approach makes the tracking operation more robust, and less prone to errors. Experiments with movie sequences representing human walk are reported.