Blind people detection and identification method and system based on combined characteristics and vehicle-mounted cameras

A technology combining features and recognition methods, applied in scene recognition, character and pattern recognition, instruments, etc., can solve problems such as lack of research materials

Inactive Publication Date: 2016-06-29
DALIAN ROILAND SCI & TECH CO LTD
View PDF10 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the detection and recognition of pedestrian types has great reference value for drivers, due to technical and other issues, there are no relevant and relatively public research materials

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
  • Blind people detection and identification method and system based on combined characteristics and vehicle-mounted cameras
  • Blind people detection and identification method and system based on combined characteristics and vehicle-mounted cameras
  • Blind people detection and identification method and system based on combined characteristics and vehicle-mounted cameras

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0095] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0096] Based on the visual information obtained by the vehicle-mounted camera, the invention uses combined features to detect blind people among pedestrians. The present invention is mainly divided into two parts: a training part and a detection part.

[0097] (1) Training part.

[0098] Such as figure 1 As shown, the offline combined model training process diagram in the method of the present invention.

[0099] Among them, the pedestrian classifier is obtained through offline training, including:

[0100] Collect sample images through video capture sensors;

[0101] Obtain the pedestrian hog feature image through the sample image;

[0102] Perform pedestrian training and learning on the pedestrian hog feature image to obtain the statistical characteristics of pedestrians, namely {f k (x)}, k=1,..., N, N is a positive integer, wherein, ...

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 belongs to the field of active driving, and particularly relates to a blind people detection and identification method and system based on combined characteristics and vehicle-mounted cameras. With the help of a vehicle-mounted sensor, on the basis of pedestrian detection within the forward visual range, detection is conducted on the detected pedestrians for the combined characteristics such as tactile sticks, guide dogs and glasses for blind people, the blind people are identified, and a driver is reminded to pay special attention to the blind people. Movement trends of the blind people and the guide dogs are judged according to attitude information of the blind people and the guide dogs, and the driver is reminded to better keep both the driver and the blind people safe. According to the blind people detection and identification method and system based on the combined characteristics and the vehicle-mounted cameras, by means of combination of multiple classifiers of offline trained pedestrians, the tactile sticks, the guide dogs and the glasses for the blind people, searching and detecting with a geometrical relationship are conducted on targets concurrently, and the efficiency and accuracy of detection are improved.

Description

technical field [0001] The invention belongs to the field of active driving, and specifically relates to a blind detection and recognition method and system based on combined features and a vehicle-mounted camera. Background technique [0002] In recent years, with the rapid development of automobile assisted driving projects, pedestrian detection technology based on vehicle cameras has made great progress, and has been continuously applied to automobile active safety and active driving projects. At present, various research and development institutions only detect pedestrians and issue relevant alarms to remind drivers to pay attention to pedestrians ahead. Although the detection and recognition of pedestrian types has great reference value for drivers, due to technical and other issues, there are no relevant and relatively public research materials. [0003] In view of this, the present invention proposes a vehicle-mounted camera-based blind detection and recognition meth...

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 Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/103G06V20/58G06V10/758G06F18/241
Inventor 田雨农吴子章周秀田于维双陆振波
Owner DALIAN ROILAND SCI & TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products