A Real-time Pedestrian Detection System in Street Scene

Pedestrian detection is the key technology in Advanced Driver Assistant System (ADAS).Until recently, pedestrian detection, which is realized as the vehicle equipment, still doesn’t have the mature product. So, this thesis proposes a novel pedestrian detection system on board with the E-HOG (Histogr...

Full description

Saved in:
Bibliographic Details
Published in:International journal on smart sensing and intelligent systems 2016-01, Vol.9 (3), p.1592-1613
Main Authors: Guo, Ai-ying, Xu, Mei-hua, Ran, Feng, Wang, Qi
Format: Article
Language:English
Subjects:
Accelerator
E-HOG
Feature extraction
Histograms
Intellectual property
LBP
Object recognition
Pedestrian Detection
Real time
Sobel
Street Screen
Vehicle equipment
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Pedestrian detection is the key technology in Advanced Driver Assistant System (ADAS).Until recently, pedestrian detection, which is realized as the vehicle equipment, still doesn’t have the mature product. So, this thesis proposes a novel pedestrian detection system on board with the E-HOG (Histogram of Gradient) IP (intellectual property), can be used as the real time vehicle equipment. Three contributions are made in this thesis. Firstly, Sobel operator cascaded Uniform Local Binary Pattern (LBP) and E-HOG is the novel structure of pedestrian detection system. The Sobel operator gives the sliding step of Uniform LBP detection window, without using the results of LBP detection window. Through this operation, the detection speed will be improved. Second, the vehicle equipment of pedestrian detection is self-developed using FPGA as core devices. Third, E-HOG IP, which is promoted based on the HOG, can extract pedestrian or other objects feature. Without sacrifice of accuracy, this pedestrian detection on board deals with 30 fps (640x480 pixels) and can be used as the real-time detection system.
ISSN:1178-5608
1178-5608
DOI:10.21307/ijssis-2017-931