Non-invasive 3D dynamic object analysis

Karl J. Sharman, M. Nixon, J. Carter
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引用次数: 1

Abstract

A non-invasive system is required to obtain three-dimensional subject extraction and description for recognition by gait. Of current three-dimensional systems, multi-view approaches appear to be the most suitable. To handle not only concavities, but also noise and occlusion, the volume intersection approach has been formulated as an evidence gathering process for moving object extraction. Results on synthetic imagery show that the technique does indeed process a multi-view image sequence to derive parameters of interest as such giving a suitable basis for development as a marker-less gait analysis system.
无创三维动态对象分析
通过步态识别,需要一个非侵入性系统来获得三维主体提取和描述。在目前的三维系统中,多视图方法似乎是最合适的。为了不仅处理凹点,而且处理噪声和遮挡,制定了体相交方法作为运动目标提取的证据收集过程。合成图像的结果表明,该技术确实可以处理多视图图像序列以获得感兴趣的参数,从而为开发无标记步态分析系统提供合适的基础。
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