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Hand Gesture Recognition and Interaction with 3D stereo Camera

By Jianming Guo


Australian National University This report focuses on the model based hand articulation tracking. The hand detection, location, segmentation, and recognition are discussed. The data collected from a Microsoft Kinect has been used. A 3d hand hierarchy model is developed as the hand hypothesis in the tracking algorithm. The hand gesture has firstly extracted as static hand postures, and then the Particle Swarm Optimisation was used to find the hand’s 3d articulation in compare with the hand hypothesis. The range of population of the PSO algorithm is provided by a Support Vector Machines based classifier. This report also organises and discusses several latest researches proposed in this area from 2009 to 2011. It is an intermediate step in the research of hand gesture recognition and interaction

Year: 2011
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