An effective pedestrian detection method for driver assistance system

Keun Yung Byun, Bo Sang Kim, Hyo Kak Kim, Jeong Eun Shin, Sung Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A driver assistance system typically adopts the wide-angle camera to obtain a wide-view image. However, the wide-angle camera often produces radial distortion. Since the conventional training-based pedestrian detection method uses distortion-free training samples, it is not suitable for distorted images. In this paper, we propose an effective pedestrian detection method that divides pedestrian training samples into several classes according to the amount of radial distortion, and trains each class separately. Likewise, a test image is divided into sub-regions and detection is performed for each sub-region separately. Experimental results show that our approach provides better performance compared to the conventional method.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Pages229-230
Number of pages2
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Consumer Electronics, ICCE 2012 - Las Vegas, NV, United States
Duration: 2012 Jan 132012 Jan 16

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Other

Other2012 IEEE International Conference on Consumer Electronics, ICCE 2012
CountryUnited States
CityLas Vegas, NV
Period12/1/1312/1/16

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Byun, K. Y., Kim, B. S., Kim, H. K., Shin, J. E., & Ko, S. J. (2012). An effective pedestrian detection method for driver assistance system. In 2012 IEEE International Conference on Consumer Electronics, ICCE 2012 (pp. 229-230). [6161841] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). https://doi.org/10.1109/ICCE.2012.6161841