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HOG (Histograms of Oriented Gradients) type quick feature extracting method

An extraction method and fast technology, applied in instruments, character and pattern recognition, computer parts and other directions, can solve the problems of complex and time-consuming trilinear interpolation, and achieve the effect of reducing interpolation operations, improving efficiency, and reducing complexity

Inactive Publication Date: 2015-05-06
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a fast HOG feature extraction method for the complex and time-consuming problem of trilinear interpolation in the existing HOG feature extraction process, and to reduce unnecessary interpolation operations through the method of regional re-division. Improve the speed of feature extraction under the premise of reducing performance

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  • HOG (Histograms of Oriented Gradients) type quick feature extracting method
  • HOG (Histograms of Oriented Gradients) type quick feature extracting method
  • HOG (Histograms of Oriented Gradients) type quick feature extracting method

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Embodiment Construction

[0015] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0016] In order to facilitate the public's understanding of the technical solution of the present invention, the relevant content of the HOG feature is firstly introduced.

[0017] The existing HOG feature extraction process is as follows:

[0018] 1. Gamma normalization:

[0019] First grayscale the image, and then use Gamma correction method to standardize (normalize) the color space of the input image. The purpose is to adjust the contrast of the image, reduce the influence of local shadows and illumination changes in the image, and suppress noise at the same time. interference.

[0020] 2. Calculate the gradient:

[0021] The most commonly used method is: first use the [-1,0,1] gradient operator to perform a convolution operation on the original image, and obtain the gradient component G in the x direction (horizontal direction, with the positive...

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Abstract

The invention discloses a HOG (Histograms of Oriented Gradients) type quick feature extracting method, and belongs to the technical field of computer die recognition. The method comprises the steps of 1, preprocessing an image; 2, calculating gradient of each pixel of the image, and dividing the image into cells and blocks; 3, calculating the HOG of each cell; 4, normalizing the HOG of each cell in each block; 5, collecting the HOG in each block, and combining into the HOG feature of the image; when calculating the HOG of each cell, each cell is divided into four sub-cells, the sub-cell adjacent to any cell M is selected from other cells in M blocks, and then all pixels in the cell M and all pixels in the selected sub-cells are subjected to tri-interpolation so as to obtain the HOG of the cell M. With the adoption of the method, the feature extracting speed can be greatly increased whole ensuring the effectiveness of the features.

Description

technical field [0001] The invention relates to a HOG (Histogram of oriented gradient, histogram of oriented gradient) feature extraction method, in particular to a fast HOG feature extraction method, which belongs to the technical field of computer pattern recognition. Background technique [0002] Computer vision technology has been widely used in modern intelligent video surveillance systems. With the gradual expansion of the scope of video surveillance applications, computer vision algorithms are required to adapt to more complex application scenarios. Especially in modern multi-camera surveillance systems, it is necessary to achieve effective detection and tracking of targets under certain changing conditions such as illumination, background, target posture, and even camera observation conditions, while avoiding overly complex algorithms. Therefore, how to take into account the efficiency and accuracy of the algorithm has become one of the research hotspots in intellig...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/507
Inventor 胡栋曹金山王佩思魏巍
Owner NANJING UNIV OF POSTS & TELECOMM
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