Visual Tracking via Joint Discriminative Appearance Learning.

IEEE Transactions on Circuits and Systems for Video Technology(2017)

引用 15|浏览33
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摘要
In this paper, we present a discriminative tracking method based on dictionary learning and support vector machine (SVM) classification, where the dictionary and the classifier are jointly learned within a unified objective function. A discriminative differential tracking method is proposed, which estimates the motion parameters iteratively by the gradient-based method to maximize the SVM classifi...
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关键词
Dictionaries,Visualization,Target tracking,Support vector machines,Linear programming,Gradient methods
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