In this paper we analyze the problems of fringe pattern estimation in optical stellar interferometry that are associated with optical path errors. Our rst nding is that an optimal fringe tracking system must track with path length errors of less than about one-eighth of the coherence length. The second is that if phase closure estimation is to be achieved at the lowest possible light levels, th...

Discriminative correlation filters (DCF) with deep convolutional features have achieved favorable performance in recent tracking benchmarks. However, most of existing DCF trackers only consider appearance features of current frame, and hardly benefit from motion and interframe information. The lack of temporal information degrades the tracking performance during challenges such as partial occlu...

A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is general in two significant ways. First, it is suitable for tracking of both, rigid and deformable objects. Second, it is suitable for tracking using both, fixed cameras and moving cameras since the model does not rely on backg...

The performance of direct and hetedyne detection optical intersatellite communication links are evaluated and compared. It is shown that the perfonnance of optical links is very sensitive to the pointing and tracking e m at the transmitter and receiver. In the presence of random pointing and tracking errors, optimal antenna gains exist that wiU minimize the required transmitter power. In additi...

For touching and manipulating objects in virtual environments conveniently, wearable haptic interfaces are required. In this paper, a concept of combining a McKibben pneumatic muscle based wearable haptic glove with an optical hand tracking system is presented. Dynamic characteristics of the muscle are measured as well as the static accuracy of the tracking system. The results are discussed, an...

In this paper we use optical flow to initialise step sizes in a stochastic optimisation setting for hand tracking. One can appreciate that most complex hand gestures result in different segments of the hand moving at different speeds. We show that by reflecting this motion difference in our step size initialisation process, the tracking performance can be improved. Significant improvement to tr...

In this paper, we present MAPTrack a robust tracking framework that uses a probabilistic scheme to combine a motion model of an object with that of its appearance and an estimation of its position. The motion of the object is modelled using the Gaussian Mixture Background Subtraction algorithm, the appearance of the tracked object is enumerated using a color histogram and the projected location...

The automated tracking of social insects, such as ants, could greatly increase the speed and reliability of gathering data used in studying their complex behaviors. Recently, data association based multipleobject tracking approaches have shown promise in improving tracking during occlusion. However, due to the high density and occlusion rate present in ant video, tracking is still prone to (1) ...

Fast natural feature tracking is essential to make markerless augmented reality applications practical on low performance mobile devices. To speed up the natural feature tracking process which includes computationally expensive procedures, we propose a novel fast tracking method using optical flow aimed for mobile augmented reality applications. Experimental results showed that the proposed met...

This paper proposes a new system for detecting human motion in a monocular video stream. It is focused on precise tracking of articulated human motion based on skeleton model and joint motion detection. To realize this approach, we introduce the hybrid model consisting of optical tracking and dynamic tracking based on Bayes rule. In this paper, we also introduce the system design integrated wit...