Human Identification From Freestyle Walks Using Posture-Based Gait Feature
Human Identification From Freestyle Walks Using Posture-Based Gait Feature
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DOI：
10.1109/tifs.2017.2738611
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发表时间：
2018-01-01
影响因子：
6.8
通讯作者：
Jianwattanapaisarn, Nitchan
中科院分区：
文献类型：
--
作者：
Khamsemanan, Nirattaya;Nattee, Cholwich;Jianwattanapaisarn, Nitchan
随着世界各地恐怖威胁的增加，人类身份识别研究已成为热门的研究领域。与标准生物识别技术不同，步态识别是一种非侵入式技术。数据收集和分类过程都可以在没有受试者合作的情况下完成。在本文中，我们提出了一种新的基于模型的步态识别技术，称为基于姿势的步态识别。它由两个元素组成：基于姿势的特征和基于姿势的分类。基于姿势的特征由所有关节在当前帧和相邻帧之间的位移以及所有关节的身体中心（CoB）相对坐标组成，其中每个关节的坐标来自其与四个关节的相对位置：从前到后：髋关节、髋关节、左髋关节、右髋关节和脊柱关节。 CoB相对坐标系是处理不同观察角度问题的关键部分。在基于姿势的分类中，考虑所有帧的基于姿势的步态特征。主导主题成为分类结果。基于姿势的步态识别技术在固定方向和涉及转身和改变方向的自由式步行场景中都优于现有技术。这表明一组姿势和快速动作足以识别一个人。该技术在画廊大小测试和累积匹配特征测试下也表现良好，这意味着基于姿势的步态识别技术对画廊大小不敏感，是取证和监视使用的良好潜在工具。
With the increase of terrorist threats around the world, human identification research has become a sought after area of research. Unlike standard biometric recognition techniques, gait recognition is a non-intrusive technique. Both data collection and classification processes can be done without a subject's cooperation. In this paper, we propose a new model-based gait recognition technique called postured-based gait recognition. It consists of two elements: posture-based features and posture-based classification. Posture-based features are composed of displacements of all joints between current and adjacent frames and center-of-body (CoB) relative coordinates of all joints, where the coordinates of each joint come from its relative position to four joints: hip-center, hip-left, hip-right, and spine joints, from the front forward. The CoB relative coordinate system is a critical part to handle the different observation angle issue. In posture-based classification, postured-based gait features of all frames are considered. The dominant subject becomes a classification result. The postured-based gait recognition technique outperforms the existing techniques in both fixed direction and freestyle walk scenarios, where turning around and changing directions are involved. This suggests that a set of postures and quick movements are sufficient to identify a person. The proposed technique also performs well under the gallery-size test and the cumulative match characteristic test, which implies that the postured-based gait recognition technique is not gallery-size sensitive and is a good potential tool for forensic and surveillance use.