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This paper presents a real-time system for hand gesture classification. The hands are detected using both the depth by the stereo camera and the skin color. The reconstructed trajectory of hands is classified into one of the gesture references.
The aim of this paper is to present solution for face servoing problem with an active camera. The algorithm is easy to implement, requires neither calibration nor expensive equipment. It performs with satisfactory degree of efficiency and promises wide range of applicability. The algorithm consists of two main parts: face detection and control part. Skin color distribution is modeled in CbCr space...
This paper presents a system to manipulate 3D objects or navigate through 3D models by detecting the gestures and the movements of the hands of a user in front of a camera mounted on top of a screen. This paper more particularly introduces an improved skin color segmentation algorithm which combines an online and an offline model; and a Haarlet-based hand gesture recognition system, where the Haarlets...
In recent years, processing the images that contain human faces has been a growing research interest because of establishment and development of automatic methods especially in security applications, compression, and perceptual user interface. In this paper, a new method has been proposed for multiple face detection and tracking in video frames. The proposed method uses skin color, edge and shape...
The task of correctly identifying and tracking people in a shadow environment for understanding the group dynamics is of paramount importance in many vision systems. This work presents a real time system for detecting and tracking people, in an environment where, people have similar attire. The proposed frame work contains shadow removal in HSV color space, detection through occlusion, person identification...
We present the combination of an illumination invariant approach to face detection with skin color detection and the false positive suppression used for improving speed and accuracy of the system. First, the non-skin color pixels of the input image are removed based on the mixed skin color model in the YCbCr and RGB chrominance spaces, from which we extract candidate human face regions. Then, face...
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