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- W2184892875 abstract "Automated video surveillance systems are an important component for Infocom Technology (IT) Industry. These systems play an important role in a wide range of image processing applications ranging from face detection, face tracking, gesture analysis, and to various human computer interaction domains. Skin color detection provides a useful and robust cue to all these applications. Therefore, skin color detection is one of the important research areas for automated video surveillance systems. Real-time requirements are the major issue for these systems. In this paper, a robust and efficient block based skin color detection technique is proposed. It is capable of detecting skin color regions in an image in real-time and a performance improvement of 3.58 times is achieved without loss of accuracy in results. The presented algorithm is implemented in C language on a standard WindowXP machine using Dev-C++ (Version 4.9.9.2) compiler. For reading and displaying of image/video Intel OpenCV library functions are used. The algorithm yield good results. The experimental results have established the effectiveness of the approach." @default.
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- W2184892875 date "2012-01-01" @default.
- W2184892875 modified "2023-09-23" @default.
- W2184892875 title "Block Based Skin Color Detection for Automated Video Surveillance System" @default.
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