An extension of the traditional color-based visual tracker, i.e., the continuously adaptive mean shift tracker, is given for improving the convenience and generality of the color-based tracker. This is achieved by introducing a probability density function for pixels based on the hue histogram of object. As its merits, the direction and size of the tracked object are easily derived by the princ...

In this paper, we compare and evaluate five contemporary, data-driven real-time 2D object tracking methods: the region tracker by Hager et al., the Hyperplane tracker, the CONDENSATION tracker, and the Mean Shift and Trust Region trackers. The first two are classical template based methods, while the latter three are from the more recently proposed class of histogram based trackers. All tracker...

In this paper we propose a novel facial feature tracker, which integrates model-free and model-based method to reliably track dense facial features with complex non-rigid motions in low quality video sequence. The tracker consists the mouth motion model part and the enhanced KLT tracker part. There are three key elements in our algorithms: dense facial feature tracking, noise removal with globa...

Accurate, high precision path tracking is an important capability for mobile robots in certain applications. In this paper, we discuss a formal method for comparing and evaluating the performance of path tracking algorithms. This method provides a way to quantify both the stability and performance of a tracker, and is of particular interest when high-accuracy off-road tracking is required. Prev...

In this chapter, we discuss the problem of tracking objects without having to learn a model of the object’s appearance in advance (i.e., model-free tracking). Object tracking has many practical applications, which motivated continous developments in the field. A particularly successful tracking technique that has been recently proposed is the structured tracker called Struck. Struck uses suppor...

The star tracker is a high-accuracy attitude measurement device widely used in spacecraft. Its performance depends largely on the precision of the optical system parameters. Therefore, the analysis of the optical system parameter errors and a precise calibration model are crucial to the accuracy of the star tracker. Research in this field is relatively lacking a systematic and universal analysi...

The CONDENSATION algorithm has attracted as it has robust tracking performance and potential of real-time implementation. However the CONDENSATION tracker has difficulty with real-time implementation for multiple people tracking since it requires complicated shapemodel and large number of samples for precise tracking performance. This paper presents two improvements for real-time multiple objec...

Feedback control laws are derived for a class of optimal finite time tracking problems with terminal constraints. Analytical solutions are obtained for the feedback gain and the closed-loop response trajectory. Such formulations are expressed in recursive forms so that a real-time computer implementation becomes feasible. An example involving the feedback slewing of a flexible spacecraft is giv...

The Probabilistic Multi-Hypothesis Tracker (PMHT) is an emerging tracking algorithm that appears to have the potential to compete with other well-established tracking algorithms. One of the values that the PMHT brings to the tracking problem is its computational efficiency that grows linearly as the number of targets increases, whereas most tracking algorithms increase exponentially as targets ...

OBJECTIVES Pedometers are an effective self-monitoring tool to increase users' physical activity. However, a range of advanced trackers that measure physical activity 24 hours per day have emerged (eg, Fitbit). The current study aims to determine people's current use, interest and preferences for advanced trackers. DESIGN AND PARTICIPANTS A cross-sectional national telephone survey was conduc...