Real-time pedestrian detection technique for embedded driver assistance systems

Chuan Yen Chiang, Yen Lin Chen, Kun Cing Ke, Shyan-Ming Yuan

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

10 Scopus citations

Abstract

Fast detection of pedestrians moving across the roads is a big challenge for in-vehicle embedded systems. Because the shape features of on-road pedestrians are irregular and complex, so that the detection techniques cost large computational resources. However, the in-vehicle embedded systems only have limited computational resources. To resolve this challenge, we propose fast pedestrian detection algorithms based on histogram of oriented gradients (HOGs), and support vector machines (SVMs). The proposed techniques are evaluated and implemented on a digital signal processing (DSP) based embedded platform. The experimental results demonstrate that the proposed detection techniques can provide high computational efficiency and detection accuracy.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Consumer Electronics, ICCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages206-207
Number of pages2
ISBN (Electronic)9781479975426
DOIs
StatePublished - 23 Mar 2015
Event2015 IEEE International Conference on Consumer Electronics, ICCE 2015 - Las Vegas, United States
Duration: 9 Jan 201512 Jan 2015

Publication series

Name2015 IEEE International Conference on Consumer Electronics, ICCE 2015

Conference

Conference2015 IEEE International Conference on Consumer Electronics, ICCE 2015
CountryUnited States
CityLas Vegas
Period9/01/1512/01/15

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  • Cite this

    Chiang, C. Y., Chen, Y. L., Ke, K. C., & Yuan, S-M. (2015). Real-time pedestrian detection technique for embedded driver assistance systems. In 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 (pp. 206-207). [7066383] (2015 IEEE International Conference on Consumer Electronics, ICCE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2015.7066383