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

Pedestrian detection method based on infrared image

An infrared image and pedestrian detection technology, applied in the field of pedestrian detection based on infrared images, can solve the problems of high false detection rate, low detection rate, and difficulty in automatic pedestrian detection.

Inactive Publication Date: 2014-07-02
ZHEJIANG UNIV
View PDF4 Cites 45 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of automatic pedestrian detection, such as difficulty in automatic pedestrian detection, low detection rate, and high false detection rate in unfavorable lighting environments such as at night, the purpose of the present invention is to provide a pedestrian detection method based on infrared images. Based on the features, a pedestrian detection feature specifically for infrared images is proposed

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
  • Pedestrian detection method based on infrared image
  • Pedestrian detection method based on infrared image
  • Pedestrian detection method based on infrared image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0047] Such as figure 1 Shown, the specific implementation steps of the present invention are as follows:

[0048] 1. Establish a standard data set for pedestrians and non-pedestrians of infrared images

[0049] Infrared cameras are used to capture infrared images in different scenes. The collected scenes include: campus tree-lined road environment, lawn environment, campus gate, playground, traffic intersection and other scenes, with more than 10,000 pictures collected. Then use the smallest rectangular window to extract pedestrian samples and non-pedestrian samples in the infrared image, and let the rectangular window extend downwards to include part of the ground when extracting pedestrian samples. Extract more than 6,000 pedestrian samples and more than 5,000 non-pedestrian samples, and uniformly scale the samples to a size of 64×128.

...

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

The invention discloses a pedestrian detection method based on an infrared image. The method comprises the steps that a pedestrian standard data set and a non-pedestrian standard data set of the infrared image are established; sample image characteristics of an HOG are extracted; sample image characteristics of an HOI are extracted; the pedestrian classification features and the characteristics of an HOGI are designed; the sample image HOGI characteristics are extracted, and a pedestrian classifier is trained; the searching detection is carried out on the infrared image based on the multi-scale sliding window method; multi-window classification results can be combined to determine the pedestrian position. The pedestrian detecting characteristics special for the infrared image are provided on the basis of studying the present pedestrian detecting characteristics. The advantages of the HOG characteristics and the advantages of the HOI characteristics are combined, and the HOGI characteristics suitable for infrared image pedestrian detection are obtained through an SVM. According to the pedestrian detection method, pedestrians walking at night are detected, and the pedestrian detection method has the advantages of being high in detection ratio, low in false drop rate, good in environmental adaptability and the like.

Description

technical field [0001] The invention relates to a pedestrian detection method, in particular to a pedestrian detection method based on infrared images. Background technique [0002] Pedestrian detection technology is an important application of computer vision, which has high practical value in daily life and production. The purpose of pedestrian detection is to segment pedestrians appearing in images or video sequences from the background and precisely locate them. Advances in automotive safety technology can improve the safety of vehicle driving, thereby reducing the occurrence of traffic accidents and reducing the burden on the medical system. The pedestrian detection system is one of the core technologies of automotive safety technologies such as intelligent assisted driving systems and driverless cars. In addition, with the development of technologies such as intelligent video surveillance, pedestrian detection (especially in night environments) has become one of the ...

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
IPC IPC(8): G06K9/00G06K9/46G06K9/66
Inventor 项志宇朱聪聪
Owner ZHEJIANG UNIV
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