A Target Tracking Method Based on Contour Gradient
A target tracking and gradient technology, which is applied in the field of target tracking based on contour gradient, can solve the problems that feature matching calculation is difficult to achieve real-time, the reference image is random, and the response speed of target tracking is affected.
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Embodiment 2
[0102] Embodiment 2: The calculation of the similarity in Embodiment 1 involves the convolution operation of the gradient eigenvalues of the feature template of the reference image and the feature matrix of the target image within a certain window range. Although based on the definition that the gradient value of the feature gradient corresponds to (0,0) at non-edge points, this calculation process has greatly reduced the amount of calculation compared with the traditional feature matching method. However, the calculation of convolution is mechanical and complicated, and still consumes a lot of time. As a result, it is difficult to achieve real-time calculation of the above-mentioned matching similarity.
[0103] Therefore, here is a fast calculation method, using fast Fourier transform (FFT) for convolution operation, and converting the similarity to the frequency domain. The specific method is as follows:
[0104] Step1. For any multi-scale and multi-angle feature template...
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