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  1. No Access

    Article

    Hierarchical and multi-featured fusion for effective gait recognition under variable scenarios

    Human identification by gait analysis has attracted a great deal of interest in the computer vision and forensics communities as an unobtrusive technique that is capable of recognizing humans at range. In rece...

    Yanmei Chai, Jie Ren, Huimin Zhao, Yang Li… in Pattern Analysis and Applications (2016)

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    Chapter and Conference Paper

    Blob Tracking with Adaptive Feature Selection and Accurate Scale Determination

    We propose a novel color based tracking framework in which an object configuration and color feature are simultaneously determined via scale space filtration. The tracker can automatically select discriminativ...

    **g** Jia, David Feng, Yanmei Chai, Rongchun Zhao… in Advances in Visual Computing (2006)

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    Chapter and Conference Paper

    A Novel Gait Recognition Method Via Fusing Shape and Kinematics Features

    Existing methods of gait recognition are mostly based on either holistic shape information or kinematics features. Both of them are very important cues in human gait recognition. In this paper we propose a nov...

    Yanmei Chai, Qing Wang, **g** Jia, Rongchun Zhao in Advances in Visual Computing (2006)

  4. No Access

    Chapter and Conference Paper

    QP_TR Trust Region Blob Tracking Through Scale-Space with Automatic Selection of Features

    A new approach of tracking objects in image sequences is proposed, in which the constant changes of the size and orientation of the target can be precisely described. For each incoming frame, a likelihood imag...

    **g** Jia, Qing Wang, Yanmei Chai, Rongchun Zhao in Image Analysis and Recognition (2006)