Multi-scale target tracking method based on background suppression and foreground anti-jamming

A technology of background suppression and target tracking, which is applied in the field of target tracking and can solve problems such as multi-scale

Inactive Publication Date: 2018-05-18
WUHAN DANWAN TECH CO LTD
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Problems solved by technology

[0006] In view of the defects in the prior art, the purpose of the present invention is to provide a multi-scale target tracking method based on background suppression and foreground anti-interference, which not on

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  • Multi-scale target tracking method based on background suppression and foreground anti-jamming

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Embodiment Construction

[0070] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0071] see figure 1 As shown, the embodiment of the present invention provides a multi-scale target tracking method based on background suppression and foreground anti-interference, the method includes the following steps:

[0072] S1: Construct and initialize the color probability model and DCF tracking model;

[0073] In this embodiment, the color probability model refers to the establishment of color histograms of the target and background regions, using Bayesian criteria to significantly distinguish target and non-target information, and because the histogram features are not affected by the location, the robustness High, anti-deformation interference;

[0074] The DCF (Dual Correlation Filter) tracking model refers to a linear correlation filter using a correlation filtering tracking framework. Specifically, the DCF tracking model firs...

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Abstract

The invention discloses a multi-scale target tracking method based on background suppression and foreground anti-jamming, which relates to the technical field of target tracking. The method includes the following steps: constructing and initializing a color probability model and a DCF tracking model; using an adaptive Gaussian window function to suppress the background in the previous frame of image, calculating the filter response map of a target position based on FHOG features in the previous frame of image, calculating the color probability distribution of the previous frame of image, obtaining the color response map of the target position, linearly fitting the filter response map and the color response map, and predicting a target position of next frame of image; updating the scale information of the target in the next frame of image according to the predicted target position of the next frame of image and based on a scale pyramid model; and carrying out adaptive dense sampling according to the target position and scale information of the next frame of image, calculating the FHOG features and color histogram of the next frame of image, and updating the DCF tracking model and the color probability model.

Description

technical field [0001] The invention relates to the technical field of target tracking, in particular to a multi-scale target tracking method based on background suppression and foreground anti-interference. Background technique [0002] Object tracking is an important branch of the field of computer vision, widely used in people flow counting, video surveillance, robotics and unmanned driving and other fields. Target tracking methods are mainly divided into two types: generative and discriminative. The former models the target area in the current frame, and the area most similar to the model is found in the next frame to predict the position. The more famous ones are Kalman filter, particle filter, and mean -shift, etc., while the latter uses the target area as a positive sample and the background area as a negative sample in the current frame, using machine learning methods to train the classifier, and using the trained classifier to find the optimal area in the next frame...

Claims

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Application Information

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IPC IPC(8): G06T7/207G06T7/246
CPCG06T7/207G06T7/251G06T2207/10016
Inventor 杜骁释石英王冠诸健文
Owner WUHAN DANWAN TECH CO LTD
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