Fast object detection based on color histograms and local binary patterns

Kwon Lee, Chulhee Lee, Seon Ae Kim, Young Hoon Kim

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

15 Citations (Scopus)

Abstract

In this paper, we present a fast object detection algorithm based on color histograms and local binary patterns (LBP). The proposed method consists of two steps: coarse target object detection and precise target object detection. During the coarse target object detection step, a small number of target candidates were generated using integral color histogram matching. To reduce computational complexity, we only used the dominant color of the integral color histogram matching. During the precise target object detection step, the target object was determined by comparing LBP feature distributions with those of the target object candidates. Experimental results show that the proposed method is efficient and robust.

Original languageEnglish
Title of host publicationIEEE TENCON 2012
Subtitle of host publicationSustainable Development Through Humanitarian Technology
DOIs
Publication statusPublished - 2012
Event2012 IEEE Region 10 Conference: Sustainable Development Through Humanitarian Technology, TENCON 2012 - Cebu, Philippines
Duration: 2012 Nov 192012 Nov 22

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

Other2012 IEEE Region 10 Conference: Sustainable Development Through Humanitarian Technology, TENCON 2012
CountryPhilippines
CityCebu
Period12/11/1912/11/22

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Lee, K., Lee, C., Kim, S. A., & Kim, Y. H. (2012). Fast object detection based on color histograms and local binary patterns. In IEEE TENCON 2012: Sustainable Development Through Humanitarian Technology [6412323] (IEEE Region 10 Annual International Conference, Proceedings/TENCON). https://doi.org/10.1109/TENCON.2012.6412323