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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 ...
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...
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...
Online feature selection using Bayes error rate is proposed to address visual tracking problem, where the appearances of the tracked object and scene background change during tracking. Given likelihoo...
A method to track mobile terminals in a cellular communication network is presented. It uses the received field strength from the surrounding base stations. A subsequent Kalman filtering is used to mi...
Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density of the state evolution...
In this paper we propose a scheme for ball detection and tracking in broadcast soccer video. There are two alternate procedures in the scheme: ball detection and ball tracking. In ball detection proce...
In this paper, an efficient rate-distortion (RD) model for H.264 video encoder in packet loss environment is presented. The encoder keeps tracking the potential error propagation on a block basis by ...
Visual tracking could be formulated as a state estimation problem of target representation based on observations in image sequences. Approaching visual tracking problem in the Bayesian filter framew...

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