Hand Segmentation is the first problem need to be solved in hand recognition system. Currently, most hand gesture recognition system is based on simple background, or requests the recognizer on glove in special color, which gives human-computer interaction some restrictions. This paper researches the gesture segmentation technology based on complex backgrounds, and gives a method combined with skin tone detection and motion detection. By experiments on the images captured by home security robot, this method can get accurate hand segmentation of all the images. This paper lays the foundation of gesture recognition on the home security robots. © 2013 Springer-Verlag.
CITATION STYLE
Li, X., Tang, C., Gong, C., Cheng, S., & Zhang, J. (2013). Hand segmentation based on skin tone and motion detection with complex backgrounds. In Lecture Notes in Electrical Engineering (Vol. 256 LNEE, pp. 105–111). https://doi.org/10.1007/978-3-642-38466-0_12
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