Meanshift combines color and texture to track targ
2016-08-23
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Application background
Meanshift is first proposed by Comaniciu, is a kind of algorithm for tracking non rigid objects. In order to characterize the object, we need to select a feature space. The reference target is represented by the probability density function Q in the feature space, for example, the reference model can choose the color probability density function of the target. Without loss of generality, the target model can be considered as the center of the center of its space. In the next frame, the candidate target is defined as the position Y, which is represented by the probability density function p (y).Key Technology
The algorithm combines color and texture information to track the target, which contains the video file to test. The similarity function between the target and the candidate histogram is denoted as a formula (1), and the local maximum of the similarity means that the candidate model is matched with the target model. Ifmatlab
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