Particle filter-based height estimation in human tracking

Zhenyuan Xu*, Junzo Watada, Zalili Binti Musa

*この研究の対応する著者

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    Today, high quality image processing is required in security and surveillance systems. These systems must not only track the motions of humans, but they must also, in some situations, measure features such as height and weight. Few methods have been proposed for height surveying. Some studies show that an infrared ray technique can survey the height of a human, but the equipment required is complicated. The objective of this paper is to build a mathematical model and method for height surveying. This human tracking method can mark humans' size in a picture so that, if we put this picture in a frame of axes, we can calculate the human's/object's height or other features. To obtain more accurate height of an object, we need a method to measure more exact results. Combining tracking/detecting methods with a particle filter provides great accuracy for human tracking.

    本文言語English
    ホスト出版物のタイトルProceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011
    ページ385-388
    ページ数4
    DOI
    出版ステータスPublished - 2011
    イベント5th International Conference on Genetic and Evolutionary Computing, ICGEC2011 - Xiamen
    継続期間: 2011 8月 292011 9月 1

    Other

    Other5th International Conference on Genetic and Evolutionary Computing, ICGEC2011
    CityXiamen
    Period11/8/2911/9/1

    ASJC Scopus subject areas

    • 計算理論と計算数学
    • コンピュータ サイエンスの応用

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