Adaptive ROI-based autonomous pedestrian detection system

Jeonghyun Baek, Sungjun Hong, Jisu Kim, Euntai Kim, Heejin Lee

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

1 Citation (Scopus)

Abstract

This paper presents an efficient algorithm to set adaptive ROI for detecting pedestrians in a moving vehicle environment. The algorithm analyzes the centroid of detected pedestrian in current frame and define centroid region where centroids of detected pedestrian are concentrated. Based on centroid region, adaptive ROI is updated for each different size of detection window in next frame. Experiments are conducted with the Caltech pedestrian dataset and proposed method not only reduces computation time but also maintains performance of conventional methods.

Original languageEnglish
Title of host publicationICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems
Pages635-638
Number of pages4
Publication statusPublished - 2012 Dec 1
Event2012 12th International Conference on Control, Automation and Systems, ICCAS 2012 - Jeju, Korea, Republic of
Duration: 2012 Oct 172012 Oct 21

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Other

Other2012 12th International Conference on Control, Automation and Systems, ICCAS 2012
CountryKorea, Republic of
CityJeju
Period12/10/1712/10/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Baek, J., Hong, S., Kim, J., Kim, E., & Lee, H. (2012). Adaptive ROI-based autonomous pedestrian detection system. In ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems (pp. 635-638). [6393260] (International Conference on Control, Automation and Systems).