PSO-particle filter-based biometric measurement for human tracking

Zhenyuan Xu*, Junzo Watada

*この研究の対応する著者

    研究成果: Article査読

    抄録

    Today, security and surveillance systems are required not only to track the motions of humans but also, in some situations, to recognize and measure biometric features such as width and length. Few methods have been proposed for biometric height measurement in human tracking. Some studies have shown 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 to measure the biometrics of human tracking. This tracking method can show humans' and objects' size in a picture so that, if we put this picture in a frame of axes, we can calculate the height and other biometric lengths. To obtain the most accurate results for biometric length surveillance, we need a tracking methodthat is more exact than conventional tracking results. Combining tracking and detection methods using a particle swarm optimization-particle filter shows results with great accuracy in human tracking.

    本文言語English
    ページ(範囲)533-539
    ページ数7
    ジャーナルJournal of Advanced Computational Intelligence and Intelligent Informatics
    16
    4
    出版ステータスPublished - 2012 6月

    ASJC Scopus subject areas

    • 人工知能
    • コンピュータ ビジョンおよびパターン認識
    • 人間とコンピュータの相互作用

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