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该程序可以实现对于手势的跟踪和手的张开和闭合的识别以及在手张开的时候的上,下,左,右4个移动方向的识别,在单纯背景下的效果比较好.-The program can be achieved for the hand gesture tracking and identification of open and closed and open hand, when the up, down, left and right identify the direction of movement 4, i
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这篇文章主要是介绍多个手部的分割,是在前面的博文:不需要骨骼跟踪的人体手部分割 的基础上稍加改进的。因为识别有的一个应用场合就是手势语言识别,而手势一般都需要人的2只手相配合完成,因此很有必要对人体的多个手部来进行分割。-The article introduced hand split, in front of the Bowen: does not require tracking of human hand bones split on the basis of a little impr
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FEATURE EXTRACTION USING MFCC:Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This
paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The
objective of usin
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This Project is confined to identification of hand postures and to establish a man-machine interaction. The hand region in the image is detected and the number of active fingers is determined. In this approach, the input which is an image or a frame
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