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Anti-occlusion correlation filtering tracking method based on domain search strategy

A technology of correlation filtering and search strategy, which is applied in the field of image processing and can solve problems such as target occlusion

Active Publication Date: 2019-12-20
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0004] Aiming at the above-mentioned deficiencies in the prior art, the present invention proposes an anti-occlusion correlation filtering tracking method based on a domain search strategy, which solves the problem of target occlusion through a robust visual tracking algorithm, and combines continuous response value and peak side lobe ratio (peak to sidelobe ratio, PSR) and target displacement difference occlusion criteria, which can be used to detect potentially reliable targets

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  • Anti-occlusion correlation filtering tracking method based on domain search strategy
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  • Anti-occlusion correlation filtering tracking method based on domain search strategy

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Embodiment Construction

[0032] Such as figure 1 As shown, this embodiment relates to an anti-occlusion correlation filter tracking method based on a domain search strategy, and the specific steps include:

[0033] Step 1) After the target is manually selected in the first frame, the circularly shifted version of the input features is regressed into the Gaussian kernel function through a correlation filter, and the target is located by searching for the maximum value on the response map, specifically:

[0034] The correlation filter performs image block convolution on each frame corresponding to the position of the previous frame for the initial target position of the input, and the output after convolution corresponds to a grayscale response map, and the maximum grayscale in the grayscale response map is The position in degrees is the new position of the target.

[0035] Preferably, the input image and the correlation filter are fast Fourier transformed (Fast FourierTransform, FFT) to the Fourier do...

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Abstract

An anti-occlusion correlation filtering tracking method based on a domain search strategy solves the problem of target occlusion through a robust visual tracking algorithm, and can be used for detecting a potential reliable target in combination with an occlusion standard of a continuous response value, a peak sidelobe ratio and a target displacement difference. When the occlusion criterion is triggered, a re-detection mechanism is performed and the tracker is commanded to stop, and then the re-detector selects the most reliable tracking target to re-initialize the tracker.

Description

technical field [0001] The invention relates to a technology in the field of image processing, in particular to an anti-occlusion correlation filter tracking method based on a domain search strategy. Background technique [0002] Object tracking is one of the research hotspots in the field of computer vision. In recent years, correlation filters have been introduced into the discriminative tracking framework and have achieved good results. Commonly used correlation filters include the MOOSE (Minimum Output Sum of Squared Error) filter, which introduces correlation operations into target tracking. And through the theory that the spatial domain convolution becomes the Hadamard product of the Fourier domain, the calculation is greatly accelerated. After that, the Circulant Structure of tracking-by-detection with Kernels (CSK) algorithm uses a circular matrix to increase the number of samples, thereby improving the performance of the classifier. As an extension to CSK, oriente...

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Application Information

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IPC IPC(8): G06T7/246G06T7/62G06T7/73G06K9/62
CPCG06T7/246G06T7/62G06T7/73G06T2207/10016G06T2207/20081G06F18/24
Inventor 肖刚刘骏张星辰冶平
Owner SHANGHAI JIAO TONG UNIV