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Human motion analysis using artificial vision is an interesting topic in the biomechanical analysis of the human body for rehabilitation routines. The people with motor disorders can achieve better and faster results if a quantitative analysis of patient progress is carried out by precision. Nowadays, there are many systems capable to capture human body movements, however these tools can be invasive,...
Human, especially human-of-interest, detection and tracking is a necessary part for immersive and realistic human-computer interaction. Thus, we propose an intelligent multi-vision-based human detection and tracking system that consists of a visible camera, an infrared camera, a dynamic infrared lighting system, and a cold mirror. The system segments a human region of interest and tracks his/her motion...
A new face tracking algorithm, and a human-computer interaction technique based on this algorithm, are proposed for use on mobile devices. The face tracking algorithm considers the limitations of mobile use case - constrained computational resources and varying environmental conditions. The solution is based on color comparisons and works on images gathered from the front camera of a device. The face...
One of the long-term goals in human-computer interaction is to utilize more intuitive and natural methods such as speech and hand gestures that a user would employ for communication. In this paper, we present a robust method of hand tracking using a probability map computed from a joint probability function derived from both depth information and skin-tone information. The depth information is provided...
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