Fast human detection using selective block-based HOG-LBP

Won Jae Park, Dae Hwan Kim, Suryanto, Chun Gi Lyuh, Tae Moon Roh, Sung Jea Ko

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

17 Citations (Scopus)

Abstract

We propose a speed up method for the Histograms of Oriented Gradients - Local Binary Pattern (HOG-LBP) based pedestrian detector. Our method is based on the two-stage cascade structure. In the first stage evaluation, instead of extracting the features from all the region inside the detection window like in the conventional method, we extract the features from the regions which best characterize the pedestrian only. By reducing the features to be evaluated, each candidate is evaluated faster. To determine which regions are best for characterizing the pedestrian, we train the AdaBoost classifier to select the blocks whose Support Vector Machine responses of the pedestrian samples are most different from the non-pedestrians. In the second stage, we simply use the conventional HOG-LBP classifier to reevaluate the candidates which pass the first stage evaluation. Experimental results show that the detection algorithm is about three times faster than the conventional HOG-LBP SVM algorithm.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages601-604
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
Duration: 2012 Sep 302012 Oct 3

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2012 19th IEEE International Conference on Image Processing, ICIP 2012
CountryUnited States
CityLake Buena Vista, FL
Period12/9/3012/10/3

Keywords

  • Block-Based
  • Cascade
  • Fast
  • HOG-LBP Feature
  • Human Detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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  • Cite this

    Park, W. J., Kim, D. H., Suryanto, Lyuh, C. G., Roh, T. M., & Ko, S. J. (2012). Fast human detection using selective block-based HOG-LBP. In 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings (pp. 601-604). [6466931] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2012.6466931