We describe a markerless camera tracking system for augmented reality that operates in environments which con-tain one or more planes. This is a common special case, which we show significantly simplifies tracking. The re-sult is a practical, reliable, vision-based tracker. Further

as flexibility and ease of use. Current vision-based trackers are based on tracking of markers. The use of markers in-creases robustness and reduces computational re-quirements. However, their use can be very com-plicated, as they require certain maintenance. Di-rect use of scene features for tracking, therefore

on a makerless vision based method to track 3-D motion information from video sequences. Although video sequences acquired from multiple static synchronized CCD cameras have been used as a tool for 3-D reconstruction of the movement of a human body, the accuracy and reliability remain as concerning

Abstract: We propose a complete system that performs real-time markerless tracking for Augmented Reality-based remote user support in a priori unknown environments. In contrast to existing systems, which require a prior setup and/or knowledge about the scene, our system can be used without

Tracking is a very important research subject in a real-time augmented reality context. The main requirements for trackers are high accuracy and little latency at a reasonable cost. In order to address these issues, a real-time, robust, and efficient 3D modelbased tracking algorithm is proposed

first approach of continuous real-time tracking of a camera-equipped mobile device relative to a map using visual structures already present in many maps. 1.

We present a novel, real-time, markerless vision-based tracking system, employing a rigid orthogonal configuration of two pairs of opposing cameras. Our system uses optical flow over sparse features to overcome the limitation of vision-based systems that require markers or a pre-loaded model

We introduce a technique to establish a coordinate system for augmented reality (AR) on table-top environments. A user’s hand is tracked and the fingertips on the outstretched hand are detected, providing a camera pose estimation relative to the hand. As a user places the hand on the surface of a

This paper presents a supporting system for pool games by computer vision based augmented reality technology. Main purpose of this system is to present visual aids drawn on a pool table through LCD display of a camera mounted handheld device without any artificial marker. Since a pool table is rectangle, a pool ball is sphere and each has a specific color, these serve as a substitute for artificial markers. Using these natural features, the registration of visual aids such as shooting direction and ball behavior is achieved. Also, our supporting information is computed based on the rules of pool games and includes the next shooting way by simulating ball behavior. Experimental results represent that the accuracy of ball positions is enough for computing our supporting information.

and heuristics-based sensor fusion using skeletal tracking. Based on a distributed, service-oriented and scalable system architecture, a markerless tracking system consisting of multiple Kinect v2 sensors has been developed for real-time interaction with virtual environments. Evaluation showed that a system