Real-time pedestrian detection system with novel thermal features at night

Chun Fu Lin, Sheng-Fuu Lin, Chi Hung Hwang, Yu Chieh Chen

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

7 Scopus citations

Abstract

Since the need of pedestrian detection at night has gained more and more interest, real-time pedestrian detection system at night has begun to attract significant attention. However, the detection performance of traditional pedestrian detection system at night is still insufficient since region of interests(ROI) generation and feature extraction are designed separately and less relative. This study presents a novel pedestrian detection algorithm and the corresponding system architecture for the real-time pedestrian detection system at night. The presented pedestrian detection algorithm uses novel outline features which have strong representative for the forward direction of pedestrian. A ROI generation method which is closely related to the outline features is presented to improve the detection accuracy. A three-layer back-propagation feed-forward neural network is applied as the classifier. Since the system architecture is efficiently and the calculation of the outline feature values is simple, the presented pedestrian detection system can operate in real-time. Experimental results show that the presented outline features are significantly effective and the detection performance of pedestrian detection system at night is improved.

Original languageEnglish
Title of host publication2014 IEEE International Instrumentation and Measurement Technology Conference
Subtitle of host publicationInstrumentation and Measurement for Sustainable Development, I2MTC 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1329-1333
Number of pages5
ISBN (Print)9781467363853
DOIs
StatePublished - 1 Jan 2014
Event2014 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Sustainable Development, I2MTC 2014 - Montevideo, Uruguay
Duration: 12 May 201415 May 2014

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)1091-5281

Conference

Conference2014 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Sustainable Development, I2MTC 2014
CountryUruguay
CityMontevideo
Period12/05/1415/05/14

Keywords

  • algorithm
  • pedestrian detection at night
  • real-time
  • system architecture

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  • Cite this

    Lin, C. F., Lin, S-F., Hwang, C. H., & Chen, Y. C. (2014). Real-time pedestrian detection system with novel thermal features at night. In 2014 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Sustainable Development, I2MTC 2014 - Proceedings (pp. 1329-1333). [6860962] (Conference Record - IEEE Instrumentation and Measurement Technology Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/I2MTC.2014.6860962