Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Preprocessing Method for Pedestrian Target Misdetection Removal

A pedestrian target and preprocessing technology, which is applied in the direction of instrumentation, computing, character and pattern recognition, etc., can solve the problems of reducing the detection accuracy of pedestrian targets, support vector machines cannot control feature weight distribution well, and low false alarm rate. , to avoid extra judgment calculation consumption, improve detection accuracy, and remove redundancy

Active Publication Date: 2021-02-02
DALIAN NATIONALITIES UNIVERSITY
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The Chinese invention patent application with the application publication number CN106650667A discloses a pedestrian detection method and system based on support vector machine, which mentions that the support vector machine cannot control the distribution of feature weights well and reduce the accuracy of pedestrian target detection, and proposes a simulation The genetic algorithm of the annealing acceptance criterion comprehensively considers the relationship between the features in the image, and formulates weights for the features of all dimensions, thereby improving the accuracy of pedestrian detection; according to the Chinese invention patent application with the application publication number CN105913003A, a multi-feature multi- Model pedestrian detection method, which analyzes the advantages and disadvantages of various pedestrian detection methods, proposes a multi-feature multi-model pedestrian detection method, integrates the content of various pedestrian detectors, and achieves compatibility with high detection rate and low error at the same time purpose of reporting

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Preprocessing Method for Pedestrian Target Misdetection Removal
  • A Preprocessing Method for Pedestrian Target Misdetection Removal
  • A Preprocessing Method for Pedestrian Target Misdetection Removal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] In this implementation example, the image width W 0 ∈[75,200) of the input image frame of the actual pedestrian detector, apply the present invention to the input preprocessing of the pedestrian detector, the comparison between the detection results before processing and the detection results after processing is shown in Figure 4 As shown in (a) and (b) in (b), the wrongly detected pedestrian targets are effectively removed.

Embodiment 2

[0055] In this embodiment, the image width W 0 ∈[200,800) of the input image frame of the actual pedestrian detector for verification, the actual feature information of the image to be detected is complex, which leads to the phenomenon of false detection of the output pedestrian target frame, and the comparison of the detection results before and after the application of the present invention is shown in the figure Figure 5 As shown in (a) and (b) in (b), the output results of successfully removing false detection pedestrian targets.

Embodiment 3

[0057] In this embodiment, the image width W 0 ∈[800,1080) of the input image frame of the actual pedestrian detector for experiments, the present invention can effectively remove the false detection phenomenon of the output pedestrian target due to the irresistible shape of the actual pedestrian to be detected, and compare the pedestrian detection results before and after the final preprocessing Figure such as Figure 6 In (a), (b) shown.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A preprocessing method for removing false detection of pedestrian objects, which belongs to the field of pedestrian detection preprocessing, and is used to solve the common false detection phenomenon of pedestrian detection results in images. The technical points are: S1. Normalized width processing; S2. Histogram regulation Equalization processing; S3. Sharpening processing, the effect is: effectively remove the redundant pedestrian detection frame that appears in the pedestrian detection process, improve the effectiveness of the subsequent pedestrian tracking algorithm application, and avoid false detection targets from bringing pedestrian detection systems. The extra judgment calculation cost.

Description

technical field [0001] The invention belongs to the field of pedestrian detection preprocessing, in particular to a method for reducing the number of false pedestrian targets detected in an image. Background technique [0002] With the rapid development of robot applications, the demand for intelligent robots is also increasing. In recent years, pedestrian detection technology has become one of the hot research directions, and it is also an important part of the field of computer vision. Commonly used pedestrian detection methods are to simulate the human eye, realize the machine to collect images of the surrounding environment or things, and then analyze and identify the content of the collected images to complete the machine's perception of the three-dimensional world. [0003] At present, the detection ideas of mainstream pedestrian detectors are mainly divided into two categories: machine learning detection methods and deep learning detection methods. The common point ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/40
CPCG06V40/103G06V10/30G06V10/44
Inventor 杨大伟毛琳张静
Owner DALIAN NATIONALITIES UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com