Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in computer vision for many years. Compared to tracking with a still camera, the images captured with a PTZ camera are highly dynamic in nature because the camera can perform large motion resulting in quickly changing capture conditions. Furthermore, tracking with a PTZ camera involves camera control to position the camera on ...

We propose a distributed data management approach in this paper for a large-scale position-tracking system composed of multiple small systems based on wireless tag technologies such as RFID and Wi-Fi tags. Each of these small systems is called a domain, and a domain server manages the position data of the users belonging to its managing domain and also to the other domains but temporarily resid...

This work is motivated by the problem of improving the accuracy of indoor ultra-wideband (UWB) position tracking through the study of the environment noise that affects such a system. Current systems can provide accuracy in the range of 30-100 cm in a small building, suitable for applications that require rough room-level precision such as asset tracking and surveillance. Our long-term goal is ...

Purpose: Continuous tumor position measurement coupled with a tumor tracking system would result in a highly accurate radiation therapy system. Previous internal position monitoring systems have been limited by fluoroscopic radiation dose and low delivery efficiency. We aimed to incorporate a continuous, electromagnetic, threedimensional position tracking system (Calypso 4D Localization System)...

for electric machine, servo drive, object positioning, intelligent control, two-mass load. Abstract— It is known that existing algorithms for control position of precision electric drive of systems with nonliarities: elasticity and friction do not provide damping of autooscillations at infralow tracking speed. Therefore control algorithms, which ensure smooth motion of the load at acceptable tr...

In this paper, we propose a target tracking scheme for operation in distributed UAV networks in which sensors may read the target position incorrectly. The proposed scheme operates two algorithms concurrently: semi-decentralized dynamic data fusion and fault detection. The semi-decentralized dynamic data fusion algorithm employs a median-consensus algorithm using extended non-faulty neighbours ...

Real-time tracking of an object’s pose (position and orientation) is a prerequisite for many potential new applications in mobile systems. We present a new combination of a full six degree of freedom (6 DoF) inertial tracking system with a vision-based tracking system. Inertial tracking is based on silicon micromachined accelerometers and gyroscopes, and the vision-based tracker recovers camera...

In multi-target visual tracking, tracking failure due to missassociation can often arise from the presence of occlusions between targets. To cope with this problem, we propose the predictive estimation method that iterates occlusion prediction and occlusion status update using occlusion activity detection by utilizing joint probabilistic data association filter in order to track each target bef...

In this paper, a synergistic approach to integrated lane and vehicle tracking for driver assistance is introduced and also the Improved on the performance of both lane tracking and vehicle Tracking modules. Further, the presented approach introduces an approach to localizing and tracking other vehicles on the road with respect to lane position, which provides an information contextual relevance...

This paper describes an optical flow-based person tracking method using multiple cameras in indoor environments. There are usually several objects in indoor environments which may obstruct a camera view. If we use only one camera, tracking may fail when the target person is occluded by other objects. This problem can be solved by using multiple cameras. In our method, each camera tracks the tar...