Abstract
There is a problem that the tracker of TLD algorithm in computer vision tracking will lose tracking target or follow the wrong one when the target is fast moving or blocked. To solve this problem, this paper proposes an improved LK optical flow algorithm with Gaussian pyramid model for single target tracking, through theoretical analysis and formula deduction. This paper applied this algorithm and the traditional LK optical flow algorithm with the unified video to compare the experimental results with the OpenCV visual library in Visual Studio 2012. The result shows that this algorithm has the effect of improving tracking accuracy and adaptability.
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