Real-time human tracking by detection based on HOG and particle filter

Jiu Xu, Axel Beaugendre, Satoshi Goto

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

3 Citations (Scopus)

Abstract

In this paper, a novel approach is proposed to achieve the multi-human tracking in video surveillance system using a combination of tracking by detection method. First of all, a modified foreground objects detection method is applied to extract the foreground blobs thus achieving the regions of interest. On the second hand, the HOG features together with searching strategies are used to initialize the trackers of humans and the trackers are utilized for the particle filter tracking. Through the tracker initialization, the problems that one blob might contain several people could be overcome. Moreover, for the tracking aspect, we further utilize the data from the foreground detection that a color-edgetexture histogram is used by calculating the local binary pattern of the edge of the foreground objects which could have a good performance in describing the shape and texture of the objects. Finally, occlusion solutions strategies are applied in order to overcome the occlusion problems during tracking. Experimental results on different data sets have proved that our method has better performance and good real-time ability.

Original languageEnglish
Title of host publicationProceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011
Pages193-198
Number of pages6
Publication statusPublished - 2011
Event6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011 - Seogwipo, Jeju Island
Duration: 2011 Nov 292011 Dec 1

Other

Other6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011
CitySeogwipo, Jeju Island
Period11/11/2911/12/1

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Object detection

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems

Cite this

Xu, J., Beaugendre, A., & Goto, S. (2011). Real-time human tracking by detection based on HOG and particle filter. In Proceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011 (pp. 193-198). [6316602]

Real-time human tracking by detection based on HOG and particle filter. / Xu, Jiu; Beaugendre, Axel; Goto, Satoshi.

Proceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011. 2011. p. 193-198 6316602.

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

Xu, J, Beaugendre, A & Goto, S 2011, Real-time human tracking by detection based on HOG and particle filter. in Proceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011., 6316602, pp. 193-198, 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011, Seogwipo, Jeju Island, 11/11/29.
Xu J, Beaugendre A, Goto S. Real-time human tracking by detection based on HOG and particle filter. In Proceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011. 2011. p. 193-198. 6316602
Xu, Jiu ; Beaugendre, Axel ; Goto, Satoshi. / Real-time human tracking by detection based on HOG and particle filter. Proceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011. 2011. pp. 193-198
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