Real-Time Uncharacteristic-Part Tracking Based on Points Tracking

In this research, we focus on how to track a target region that lies next to similar regions (e.g., a forearm and an upper arm) in zoom-in images. In our method, a group of feature points in a target region is extracted and tracked as the model of the target. Small differences between the neighboring regions can be verified by focusing only on the feature points. In addition, (1) the stability of tracking is improved using particle filtering and (2) tracking robust to occlusions is realized by removing unreliable points using random sampling.

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