An approach for estimating the 3D absolute position and orientation of the hand in space using parametric modelling of the central region of the hand and some of its applications are presented. A stereo camera is used to first build a preliminary disparity map of the hand. Then, the best fitting plane to the disparity points is computed using robust estimation. Next, the 3D hand plane is calcul...

Robot and human interaction has received a significant amount of attention in the robot vision research community in the past decades. This has been motivated by the desire of understanding human gesture/motion tracking and recognition. If you solve tracking problems under the circumstance of fast movement, occlusion, and illumination, then you need to complicate calculation, and hence the comp...

We propose a method for extracting 3D position and posture of hands with stereo cameras. The main contribution of our research is that our method enables to track the position and posture in mobile environments by using stereo cameras. The hand is often observed with many occluded regions, since the hand has many joints. In previous methods, many cameras are required to extract the position and...

We present an agent-based framework for human hand and head tracking. The benefits of this architecture are that it simplifies system organization, facilitates flexible extension, and supports hierarchical abstraction. The framework employs low-level processing agents that computes motionvector clusters, skin-color patches and edge. Mid-level agents fuse the features computed into hand and head...

Tracking the pose of a moving hand from a monocular perspective is a difficult problem. In the current study the tracking problem is recast as efficient database indexing. Recognition is hastened by approximating chamfer distances between hand poses which have been embedded into a common vector space. Using this embedding, a small number of candidate matches for each query can be quickly identi...

We describe a system for tracking real-time hand gestures captured by a cheap web camera and a standard Intel Pentium based personal computer with no specialized image processing hardware. To attain the necessary processing speed, the system exploits the Multi-Media Instruction set (MMX) extensions of the Intel Pentium chip family through software including. the Microsoft DirectX SDK and the In...

Vision-based markerless hand tracking has many applications, for instance in virtual prototyping, navigation in virtual environments, teleand robot-surgery and video games. It is a very challenging task, due to the real-time requirements, 26 degrees-of-freedom, high appearance variability, and frequent self-occlusions. Because of that, and because of the many desirable applications, it has rece...

considering the deficiency of accurate hand gesture contour inaccessible and inefficiency in complex dynamic background in existing methods of hand gesture tracking, a two dimensional skin color probability forecast method is proposed. Based on this, a hand gesture segmentation method of multi-mode and a hand gesture tracking method of state estimation are extended. When hand gesture is segment...

Hand pose estimation is an important task in areas such as human computer interaction (HCI), sign language recognition and robotics. Due to the high variability in hand appearance and many degrees of freedom (DoFs) of the hand, hand pose estimation and tracking is very challenging, and different sources of data and methods are used to solve this problem. In the paper, we propose a method for mo...