Region-Based Tracking in Video Sequences Using Planar Perspective Models
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Object tracking can be used in many applications using motion information. This paper proposes a method of region-based tracking using planar perspective motion models. Planar perspective models can represent motion information of the plane rigid motion in the sequence properly. And in many cases the real object’s motion can be represented using planar perspective motion models approximately. The method estimates model parameters on three pyramid levels, and it is based on the reliable estimation of planar perspective models in the region to be tracked. The calculation on three pyramid levels can accelerate the speed of estimation. Gauss-Newton and Levenberg-Marquadet are combined to estimate the models’ parameters. During the tracking process there is some noise, so robust estimation is used in the parameters’ estimation of models. Some experimental results are shown at the end of paper. From the experiments’ result the tracking method is effective in those complicated situations.
Keywordsmotion estimation tracking planar parameter models
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