Moving vehicle tracking method capable of resisting strong shadow interference

A vehicle tracking and shadowing technology, which is applied in image enhancement, image data processing, instruments, etc., can solve problems such as powerlessness, constraints, and affecting the robustness of shadow interference

Active Publication Date: 2019-08-09
LIAONING NORMAL UNIVERSITY
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  • Abstract
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Problems solved by technology

However, the key to these methods is to extract texture and edge information effectively, but wavelet transform can only optimally represent one-dimensional point singularity and two-dimensional straight line singularity along horizontal, vertical and diagonal directions, which is widely used in videos and images. There are straight and curved singularities in other directions but nothing can be done
Therefore, the above-mentioned method based on wavelet transform is still insuff

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  • Moving vehicle tracking method capable of resisting strong shadow interference
  • Moving vehicle tracking method capable of resisting strong shadow interference
  • Moving vehicle tracking method capable of resisting strong shadow interference

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Embodiment Construction

[0061] A moving vehicle tracking method against strong shadow interference of the present invention is carried out according to the following steps;

[0062] Step 1. Input a traffic surveillance video V with shadows I ;

[0063] Step 2. From V I Read in a size of Pixelated, raw video frame F, converted from RGB color space to HSV color space;

[0064] Step 3. Perform two-level non-subsampling shearlet transform on the H channel and V channel of the video frame F respectively, and the number of direction subbands at each scale is 4;

[0065] Step 4. Calculate the mean value of the lowest frequency subband coefficients of the H channel and the V channel , where the superscript represents the color channel and ;

[0066] Step 5. Calculate the standard deviation of high-frequency coefficients in sub-bands of different scales and directions in the H channel and V channel , where the subscript represents the scale and , subscript indicates the direction and ;

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Abstract

The invention discloses a moving vehicle tracking method for resisting strong shadow interference based on a non-subsampled shear wave domain zero tree structure, which is high in accuracy and robustness and has self-adaptive capability, and comprises the following steps of: after a video frame is converted into an HSV color space from an RGB color space, carrying out non-subsampled shear wave transformation; assuming that the transformation coefficient obeys Gaussian distribution, calculating a weighted mask of each scale by adopting a mean value and a standard deviation of the transformationcoefficient; according to the zero tree distribution characteristic of the multi-scale transformation coefficient, correcting a fine-scale weighted mask by utilizing a coarse-scale weighted mask, andcarrying out linear combination on the weighted masks of each scale and each color channel to obtain a public mask; calculating a self-adaptive segmentation threshold value by using a maximum entropymethod based on least square fitting, and binarizing the public mask; and determining a moving vehicle area in a voting mode, and tracking the target vehicle by adopting a mean shift algorithm.

Description

technical field [0001] The invention relates to the field of intelligent traffic video processing, in particular to a moving vehicle tracking method with high accuracy, good robustness, self-adaptive capability, and resistance to strong shadow interference based on a zero-tree structure in a non-subsampled shear wave domain. Background technique [0002] In the process of automatic tracking of vehicle targets by intelligent transportation systems, the static shadows produced by the surrounding static scenes will cause short-term changes in the characteristics of moving vehicles; while the moving shadows produced by moving vehicles will increase the proportion of vehicles in the video image , so that the target vehicle is integrated with the shadow, and it is easy to be misdetected as a part of the moving target. Therefore, it is generally believed that shadows are a disturbing factor to vehicle target tracking, segmentation and information statistics. Whether it is a static...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06T7/136G06T5/30G06T7/11
CPCG06T7/20G06T7/136G06T5/30G06T7/11G06T2207/10016Y02T10/40
Inventor 宋传鸣洪旭王相海刘丹
Owner LIAONING NORMAL UNIVERSITY
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