Human Motion Analysis using Virtual Reality

S. Sulaiman, N. Tahir, A.M.M. Shah, A. Hussain, S. Samad
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Abstract

This paper presents two different algorithms to detect human motion using the sum of absolute difference (SAD) and area-based detection methods. Both methods have the same objective that is to detect moving pixels in video sequences. The SAD block will determine the similarity between the input image and the background image that acted as the reference template, by performing the sum of absolute differences. As for the area- based detection, it uses the pre defined range of total 0-value pixels (black pixels) in binary image that depends on the size of the foreground image. The differences are indicated by the moving pixels in the input image that represented the detected object(s). Subsequently the identified objects will undergo some morphological processes such as dilation and erosion to filter the noise pixels, for precise means of detection. Next, the system will perform the boundary box plotting to denote the detected object. The entire system is developed in the virtual reality environment and later be deemed for application in an intelligent surveillance system, pedestrian detection and human activity recognition.
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基于虚拟现实的人体运动分析
本文提出了两种不同的人体运动检测算法,分别采用绝对差和检测和基于区域的检测方法。这两种方法都有相同的目标,即检测视频序列中的移动像素。SAD块将通过执行绝对差值之和来确定输入图像和作为参考模板的背景图像之间的相似性。对于基于区域的检测,它使用预先定义的二值图像中总0值像素(黑色像素)的范围,该范围取决于前景图像的大小。差异由输入图像中表示检测到的对象的移动像素表示。随后,被识别的物体将经历一些形态过程,如膨胀和侵蚀,以过滤噪声像素,以获得精确的检测手段。接下来,系统将执行边界框绘图来表示检测到的对象。整个系统是在虚拟现实环境下开发的,可用于智能监控系统、行人检测和人体活动识别。
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