Have a personal or library account? Click to login
Pedestrian Detection Algorithm Based on Local Color Parallel Similarity Features Cover

Pedestrian Detection Algorithm Based on Local Color Parallel Similarity Features

International Journal on Smart Sensing and Intelligent Systems
Volume 6 (2013): Issue 5 (January 2013)
By: Xianxian Tian,  Hong Bao,  Cheng Xu and  Bobo Wang  
Open Access
|Dec 2013

Authors

Xianxian Tian

tianxianxian@buu.edu.cn

Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China

Hong Bao

baohong@buu.edu.cn

Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China

Cheng Xu

xucheng@buu.edu.cn

Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China

Bobo Wang

hbexwtb@163.com

Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China
DOI: https://doi.org/10.21307/ijssis-2017-618 | Journal eISSN: 1178-5608
Journal RSS Feed
Language: English
Page range: 1869 - 1890
Submitted on: Jul 1, 2013
Accepted on: Oct 30, 2013
Published on: Dec 16, 2013
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Pedestrian detection,
Local Color Self-Similarity Feature,
SVM,
HOG
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2013 Xianxian Tian, Hong Bao, Cheng Xu, Bobo Wang, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous articleVolume 6 (2013): Issue 5 (January 2013)Next article