Real-time dynamic vehicle detection on resource-limited mobile platform

Duan Yu Chen*, Guo Ruei Chen, Yu Wen Wang, Jen Yu Yu, Jun-Wei Hsieh, Chi Hung Chuang

*Corresponding author for this work

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

2 Scopus citations

Abstract

Given the rapid expansion of car ownership worldwide, vehicle safety is an increasingly critical issue in the automobile industry. The reduced cost of cameras and optical devices has made it economically feasible to deploy front-mounted intelligent systems for visual-based event detection. Prior to vehicle event detection, detecting vehicles robustly in real time is challenging, especially conducting detection process in images captured by a dynamic camera. Therefore, in this paper, a robust vehicle detector is developed. Our contribution is three-fold. Road modeling is first proposed to confine detection area for maintaining low computation complexity and reducing false alarms as well. Haar-like features and eigencolors are then employed for the vehicle detector. To tackle the occlusion problem, chamfer distance is used to estimate the probability of each individual vehicle. AdaBoost algorithm is used to select critical features from a combined high dimensional feature set. Experiments on an extensive dataset show that our proposed system can effectively detect vehicles under different lighting and traffic conditions, and thus demonstrates its feasibility in real-world environments.

Original languageEnglish
Title of host publicationProceedings of 2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012
Pages1632-1637
Number of pages6
DOIs
StatePublished - 31 Dec 2012
Event2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012 - Xian, Shaanxi, China
Duration: 15 Jul 201217 Jul 2012

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
Volume4
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012
CountryChina
CityXian, Shaanxi
Period15/07/1217/07/12

Keywords

  • eigencolor
  • Haar-like feature
  • Vehicle detection

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  • Cite this

    Chen, D. Y., Chen, G. R., Wang, Y. W., Yu, J. Y., Hsieh, J-W., & Chuang, C. H. (2012). Real-time dynamic vehicle detection on resource-limited mobile platform. In Proceedings of 2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012 (pp. 1632-1637). [6359610] (Proceedings - International Conference on Machine Learning and Cybernetics; Vol. 4). https://doi.org/10.1109/ICMLC.2012.6359610