S. M. Ashik Eftakhar

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Development of a high accuracy and robust human motion recognition system is the fundamental requirement to apply in the real-life applications. Therefore, the recognition systems are being investigated to improve the system's performance and to enhance with more functionality. As a result of such an investigation, the formerly adopted structured motion(More)
The development of an automatic human motion recognition system leads to the solution to the problems concerning the video-based applications in recognizing human activities. Such a system is to be investigated in the context of human motion analysis. Although there were a large number of researches in this area for a long time, there was little attention(More)
Human motion recognition is an emerging research field for the video-based applications capable of recognizing human motions or actions. The automaticity of such a system has vital importance for implementation in practical scenarios. With the growth of enormous bulk motion dataset, it becomes an indispensable task to develop a motion database that can deal(More)
In this paper, our proposed structured human motion database is adopted for different motion representations. The motions are first represented as a sequence of frames of 2D images, which were compressed using three recognized motion representation techniques: exclusive-OR, MEI (motion energy image), and MHI (motion history images). The representation is a(More)
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