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Tracking mobile targets using low-cost Wireless Sensor Network (WSN) requires not only good tracking accuracy but also network longevity. Cluster-based tracking protocols leverage the fact that only s...
We present a feature extraction and tracking method which is based on pure rich texture analysis and has robustness under irregular conditions, such as illumination change, deformation of objects and ...
In this paper, we decode the PRN codes of the E5a and E5b signals broadcast by the Galileo GIOVE-A test satellite. The Galileo E5 band overlaps with Distance Measuring Equipment (DME) and Tactical Air...
With the launch of the Compass-M1 satellite on 14 April 2007, China is set to become the latest entrant into global navigation satellite systems (GNSS). The satellite, sometimes referred to as Compass...
A new method of multiple human tracking is proposed. The key concept is that to assume a tracking process as a data assimilation process. Despite the importance of understanding pedestrian behavior in...
Psychophysical findings have shown that human vision system has an ability to improve target search by enhancing the representation of image components that are related to the searched target, which ...
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems.To solve them, most top-performing method...
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force search to perform obje...
The automatic detection and tracking of multiple skin-colored objects in videos plays important roles in gestural human-computer interaction,such as in gesture and sign language recognition. In this p...
This letter proposes a novel channel-tracking scheme to improve the performance of the dedicated short-range communication (DSRC) systems affected by rapid fluctuations in channel envelopes. The propo...
The appearances of the tracked object and its surrounding background usually change during tracking. As for tracking methods using subspace analysis, fixed subspace basis tends to cause tracking fail...
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we propose a method to embed...
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we propose a method to embe...
In this paper, a novel multiple objects detection and tracking approach based on support vector machine and particle filter is proposed to track players in broadcast sports video. Compared with previo...

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