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

Jiu Xu*, Axel Beaugendre, Satoshi Goto

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011
ページ193-198
ページ数6
出版ステータスPublished - 2011
イベント6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011 - Seogwipo, Jeju Island
継続期間: 2011 11 292011 12 1

Other

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

ASJC Scopus subject areas

  • コンピュータ サイエンス(その他)
  • 情報システム

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