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Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a great success, because it uses the UKF (unscented Kalman filter) to generate a sophisticated proposal distributions which incorporates the newest observations into the state transition distribution and thus overcomes the sample...
Appearance descriptor is a fundamental component for visual tracking. But the targetpsilas appearance always changes over time in video stream due to variations in illumination, pose, scale and so on. In this paper, we combine particle filter with incremental covariance descriptor update for robust visual tracking. We employ a weight factor update mechanism to account for the contributions of previous...
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