The accuracy and poor real-time performance of moving objects in a dynamic range complex environment become the bottleneck problem of the target location and tracking. In order to improve the positioning accuracy and the quality of tracking service, we propose an embedded tracking algorithm based on multi-feature fusion and visual object compression. On the hand, according to the feature of the...

Hand tracking in video is an increasingly popular research field due to the rise of novel human-computer interaction methods. However, robust and real-time hand tracking in unconstrained environments remains a challenging task due to the high number of degrees of freedom and the non-rigid character of the human hand. In this paper, we propose an unsupervised method to automatically learn the co...

In this paper, we present a real time vision based hand tracking system by combining predictive framework and appearance model. Due to the nature of hand motion which is flexible, erratic and easily varies in its appearance, the hand tracking from a single camera remains a complex problem. Here, we present a simple and efficient method to overcome such difficulties using the integration of Adap...

In this paper we present a novel computer vision based hand-tracking technique, which is capable of robustly tracking 6+4DOF of the human hand in real-time (at least 25 frames per second) with the help of 3 (or more) offthe-shelf consumer cameras. ‘6+4DOF’ means that the system can track the global pose (6 continuous parameters for translation and rotation) of 4 different gestures. A key featur...

The ability to accurately track hand movement provides new opportunities for human computer interaction (HCI). Many of today’s commercial hand tracking devices based on gloves can be cumbersome and expensive. An approach that avoids these problems is to use computer vision to capture hand motion. In this paper, we present a complete real-time hand tracking and 3-D modeling system based on a sin...

Computer sensing of hand and limb motion is an important problem for applications in human-computer interaction, virtual reality, and athletic performance measurement. We describe a framework for local tracking of self-occluding motion, in which parts of the mechanism obstruct each others visibility to the camera. Our approach uses a kinematic model to predict occlusion and windowed templates t...

In this paper we present a system to recognize the hand motion of Taiwanese Sign Language (TSL) using the Hidden Markov Models (HMMs) through a vision-based interface. Our hand motion recognition system consists of four phases: construction of color model, hand tracking, trajectory representation, and recognition. Our hand tracking can accurately track the hand positions. Since our system is re...

Many studies of right/left differences in motor performance related to handedness have employed tasks that use arm movements or combined arm and hand movements rather than movements of the fingers per se, the well-known exception being rhythmic finger tapping. We therefore explored four simple tasks performed on a small touchscreen with relatively isolated movements of the index finger. Each ta...

This work is the part of vision based hand gesture recognition system for Natural Human Computer Interface. Hand tracking and segmentation are the primary steps for any hand gesture recognition system. The aim of this paper is to develop robust and efficient hand segmentation algorithm where three algorithms for hand segmentation using different color spaces with required morphological processi...

The intent of the paper is to apply computer vision technique to control the music player by CAMSHIFT algorithm. Based on the human hand activity, gesture and posture recognition are used to communicate with computers. Gesture is the physical movement of a hand, expressive of an idea. Posture is the static morph of a hand. In this paper skin colour segmentation is used for hand detection, after...