Hand Gesture Segmentation and Fingertip Detection Based on Depth Image of the Kinect
XU Peng-fe · Journal of Southwest University of Science and Technology · 2014
To overcome the traditional two-dimensional color image processing algorithm which is susceptible to the surrounding environment,illumination and background,a fast and robust hand gesture segmentation and fingertip detection algorithm based on Kinect depth image information was presented. First, the depth information of Kinect was used to filter the non-human part of the image and keep the human body part which contains hands; second,the histogram of the human body part which contains hands was analyzed to calculate the threshold value which is able to distinguish the torso and hand,then get the hand region by segmenting the image with the threshold value; finally,the image of hand region was processed morphologically to calculate the palm position and extract the contours of the hand. The fingertips was detected effectively by the key geometric features of the contours. Tests verified the speed and accuracy of this method.