Stereo object tracking with fusion of texture, color and disparity information
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文摘

We perform visual object tracking on stereo videos.

We use Kalman filter and sub-sampling for object position prediction.

We use 2-dimensional color–disparity histograms for coarse background subtraction.

We use Local steering kernels for object texture description.

We ensure disparity-consistent representation of the tracking results.

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