Method, system and device for recursive error detection and verification based on hog feature pedestrian detector

A pedestrian detection and verification method technology, applied in biometric identification, instrumentation, computing, etc., can solve the problem of false detection of pedestrian targets

Active Publication Date: 2021-03-23
DALIAN NATIONALITIES UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of false detection of pedestrian targets in vehicle-mounted monocular camera pedestrian detection, the present invention provides a pedestrian target recursive verification method for HOG features

Method used

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  • Method, system and device for recursive error detection and verification based on hog feature pedestrian detector
  • Method, system and device for recursive error detection and verification based on hog feature pedestrian detector
  • Method, system and device for recursive error detection and verification based on hog feature pedestrian detector

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Experimental program
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Effect test

Embodiment 1

[0072] Outdoor single environmental personnel calibration box error inspection

[0073] In this embodiment, the outdoor single environment actually peers to detect the complexity of the image feature information to be complex by the output, and the present invention is applied to figure 2 As the input pedestrian detection system, the image to be detected, image 3 In order not to start recursive operation, there is an output result of the wrong pedestrian target box. Figure 4 Successfully remove the output results of the wrong pedestrian target box for recursive verification.

Embodiment 2

[0075] Indoor single case pedestrian calibration box error check

[0076] In this embodiment, the interior single condition is complicated to the output of the person's target block error detection, which is applied to the output. Figure 5 As the input pedestrian detection system, the image to be detected, Figure 6 In order not to start recursive operation, there is an output result of the wrong pedestrian target box. Figure 7 Successfully remove the output results of the wrong pedestrian target box for recursive verification.

Embodiment 3

[0078] Outdoor multi-person environmental personnel calibration box error inspection

[0079] In this embodiment, the outdoor multiplayer environment actually peers to detect the image characteristic information complex by the output, and the present invention is applied to Figure 8 As the input pedestrian detection system, the image to be detected, Figure 9 In order not to start recursive operation, there is an output result of the wrong pedestrian target box. Figure 10 Successfully remove the output results of the wrong pedestrian target box for recursive verification.

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Abstract

The recursive error detection method, system and device based on HOG feature pedestrian detector belong to the technical field of vehicle-mounted assisted driving. The ratio of the sum of the pixel area and the pixel area, and the ratio falls into different value ranges, including at least one range, which means that the target data cannot be determined. If the ratio falls within this range, the pedestrian target corresponding to the coordinates of the pedestrian detection frame will be The image is used as the pedestrian target image to be verified after steps S2 to S4 are executed cyclically, until the ratio no longer falls within the range indicating that the target data cannot be determined. The effect is to calculate through recursive structure, so that the system can eliminate detection errors caused by factors such as the angle of the shooting lens and the uneven lighting of the shooting scene in practical applications.

Description

Technical field [0001] The present invention belongs to the field of in-vehicle auxiliary driving techniques, and in particular, the present invention relates to a pedestrian target verification method based on a recursive structure. Background technique [0002] With the arrival of the unmanned car era, pedestrian testing related treatment technology has also become one of the hot research directions. Pedestrian detectors based on HOG feature have high computational precision and lower complexity to become a hot tool in machine learning. This type of detector is numerous, and the structure is easy to understand, but because the image to be detected will cause a series of factors such as different scene differences, uneven light lines, intensive obstruction, etc., which can easily make the characteristics of the personnel. There is a misuse, and the accuracy of the detection system is reduced. The pedestrian detection method based on the HOG feature is performed by filtering the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/10
Inventor 杨大伟毛琳陈思宇张静
Owner DALIAN NATIONALITIES UNIVERSITY
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