Collaborative part-based tracking using salient local predictors ?
A novel part-based tracking algorithm is proposed. Reliable local features are identified through a saliency evaluation mechanism. Salient predictors collaborate to achieve a global prediction of the target state. We handle real-life difficulties such as occlusion and presence of distractors. The drastic decrease of the number of features does not destabilize the tracker.
part-based tracking feature saliency keypoint sift keypoint layout