Introduction We present an MR-compatible adaptive membrane lens, which is integrated into a wide-angle objective to form part of an optical tracking system. This work is motivated by the need for optical head tracking devices for use in prospective motion correction [1], but an alternative application could be high-resolution eye tracking for fMRI. The challenge for in-bore cameras is the limit...

Digital Particle Image Velocimetry (DPIV) aims at flow visualisation and measurement of flow dynamics in numerous applications, including hydrodynamics, combustion processes and aeronautical phenomena. The fluid is seeded with particles that follow the flow and efficiently scatter light. Traditionally, FFT-based correlation techniques have been used to estimate the displacements of the particle...

Super-resolution microscopy has revolutionized cellular imaging in recent years1-4. Methods relying on sequential localization of single point emitters enable spatial tracking at ~10-40 nm resolution. Moreover, tracking and imaging in three dimensions is made possible by various techniques, including point-spread-function (PSF) engineering5-9 -namely, encoding the axial (z) position of a point ...

In this paper, we present a technique for object tracking in image sequences, which includes a novel velocity field estimation for vertex locations of a polygon. In this approach, after capturing boundaries of an object by a polygon from the first few frames of the image sequence, both the spatial segmentation and motion segmentation of a polygonal object can be achieved quickly by involving on...

An increasing number of neuroscience experiments are using virtual reality to provide a more immersive and less artificial experimental environment. This is particularly useful to navigation and three-dimensional scene perception experiments. Such experiments require accurate real-time tracking of the observer's head in order to render the virtual scene. Here, we present data on the accuracy of...

This paper applies a video modelling technique to a surveillance scenario where pedestrians are monitored to detect unusual events. The aim is to investigate the components of an automatic vision system capable of detecting normal and abnormal behaviour. Such a system has application in surveillance scenarios like town centre plazas, stadiums, train stations and shopping malls. Surveillance usu...

In this paper we present a continuous 24 hour data collection and a semi automated data analysis of laboratory mice in a spacious indoor environment. The data is collected via an RFID tracking solution, a scale and an optical tracking system. The visualisation and the premilary analysis of the data provide information about behavioural and movement patterns of laboratory mice under semi-natural...

This paper presents the realtime processing of optical motion capture with pan-tilt camera tracking. Pantilt camera tracking expands the range of capturing eld dynamically. Asymmetrical marker distribution and polyhedra search algorithm realize robust labeling against marker missing. The algorithm is developed for parallel cluster computation and enables realtime data processing. Experimental r...

This paper proposes an algorithm for visual-inertialcamera pose tracking, using adaptive recursive particle filtering.The method benefits from the agility of inertial-based androbustness of vision-based tracking. A proposal distribution hasbeen developed for the selection of the particles, which takes intoaccount the characteristics of the Inertial Measurement Unit(IMU) ...

PURPOSE To develop an accurate and efficient single-marker-based optical tracking system to enhance patient safety and quality of care in radiotherapy. METHODS The optical tracking system consists of a Polaris camera as well as in-house software. The camera is mounted inside the treatment room and detects the location of a single infra-red (IR) reflective marker affixed on patient skin in rea...