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This paper proposes a new hand-image detection method in video surveillance based on skin-color and circular degree. In terms of the information of skin-color and circular degree in human hand, the detected result of our method is more accurate than the previous methods, but the method also has lower computational complexity.
In this paper, a novel method is proposed for human face detection. It contains three parts: illumination compensation, skin color model and template matching. First, we remove the color offset, high light and shadows that exist in human face images, and Gaussian model in YCrCb skin color space is chosen.Then, the facial skin region is marked and segmented using an improved segmentation algorithm...
In this paper, we describe a method to detect human fingers from images captured by a stereo camera. The images captured by the stereo camera are preprocessed by a skin detection module. Two hands are extracted from the skin regions using disparity information. We then apply grayscale morphology and use BLOB analysis to detect fingers and their directions. The method is simple yet powerful for finger...
This paper presents a novel blob analysis algorithm which significantly improves skin detection effectiveness. In our research we developed an adaptive skin detector which utilizes statistical skin color model updated dynamically based on a face region. Faces are detected in luminance channel based on their geometric properties. Color-based skin detectors classify every pixel separately which results...
In this paper, combined PERCLOS and AECS, we introduce an algorithm to detect the driver fatigue. The algorithm, based on color image skin color segment, can directly transforms the RGB form image to the gradation image by the skin color segmentation, and then the eyes is detected. Then we identify eyepsilas condition through the judgment of eye area. Finally, this driver fatigue monitor algorithm...
In this paper, the kind of driver fatigue monitor algorithm is studied based on color image skin color segment, which directly transforms the RGB form image to the gradation image by the skin color segmentation, and then the eyes is detected. Then we identify eye's condition through the judgment of eye area. Finally the driverpsilas state is monitored by PERCLOS algorithm.
Internet access has dramatically increased the risk of receiving objectionable information such as the pornographic images. Content based Image detection is of the paramount importance in objectionable images filtering in Internet. This paper designed a simplified system by using the HSV color space converted by the law of gravity center and combining the face detection to define and evaluate the...
A vision system has been developed for human-robot symbiosis. The two novel contributions of this paper are 1) Detection of human faces and 2) Localizing the eye. The method is based on visual attributes of human skin colors and geometrical analysis of face skeleton. This paper introduces a spatial domain filtering method named dasiafuzzily skewed filterpsila which incorporates fuzzy rules for deciding...
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