Paper
8 July 2011 Human multimedia display interface based on human activity recognition
Yiting Shang, Eung-Joo Lee
Author Affiliations +
Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80091Y (2011) https://doi.org/10.1117/12.896400
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China
Abstract
In this paper, we will propose a Human Multimedia Display Interface. The interface uses the tracking of human hand movements to control the IP-TV. This paper presents an improved CAMSHIFT algorithm to control an IP-TV system. The CAMSHIFT algorithm (Continuously Adaptive MeanShift) is a method of using color information[1]. It can do tracking with a specific color of the target. In some typical environmental constraints, it can obtain good tracking performance. However, as the question of noise, large area similar to the color interference and so on, only by CAM-SHIFT algorithm it is not competent. Against these issues we propose an improved CAMSHIFT algorithm[2].
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yiting Shang and Eung-Joo Lee "Human multimedia display interface based on human activity recognition", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80091Y (8 July 2011); https://doi.org/10.1117/12.896400
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Cited by 2 scholarly publications.
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KEYWORDS
Detection and tracking algorithms

RGB color model

Multimedia

Image processing

Control systems

Skin

Visual process modeling

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