An Algorithm for Data-Driven Bandwidth Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Online Selection of Discriminative Tracking Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean shift blob tracking with kernel histogram filtering and hypothesis testing
Pattern Recognition Letters
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An interactive personalized video summarization based on sketches
Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
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A real time dynamic target recognition and tracking method is presented for mobile robot in this paper. Firstly, the inter-frame difference method is applied to detect the moving target. And the proposed method computes the color histogram and extracts SIFT features in the target region. Then from the following frame, it extracts SIFT features, matches with SIFT features extracted from target, and calculates the center location of the matched features. Finally the Camshift algorithm, starting from the center location, is used to track the target. Experiments demonstrate that the proposed method can effectively recognize and track the moving target, and its performance is better than the classic Camshift algorithm