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IJIG
2002
120views more  IJIG 2002»
13 years 11 months ago
Performance Measures for Assessing Contour Trackers
In this paper we present techniques to compare the quality of tracking performances of B-spline based contour trackers. Three trackers reported to give good tracking performance h...
Prithiraj Tissainayagam, David Suter
AUTOMATICA
2007
238views more  AUTOMATICA 2007»
13 years 11 months ago
Fundamental limit of discrete-time systems in tracking multi-tone sinusoidal signals
This paper studies the tracking performance of linear time-invariant multi-variable discrete-time systems. The specific problem under consideration is to track a multi-tone sinus...
Weizhou Su, Li Qiu, Jie Chen
ICASSP
2010
IEEE
13 years 11 months ago
Performance analysis of IPNLMS for identification of time-varying systems
The tracking performance of adaptive filters is crucially important in practical applications involving time-varying systems. We present an analysis of the tracking performance f...
Pradeep Loganathan, Emanuel A. P. Habets, Patrick ...
NIPS
2008
14 years 1 months ago
Tracking Changing Stimuli in Continuous Attractor Neural Networks
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
C. C. Alan Fung, K. Y. Michael Wong, Si Wu
AVSS
2005
IEEE
14 years 5 months ago
Stereo person tracking with short and long term plan-view appearance models of shape and color
Copyright 2005 IEEE. Published in the 2005 International Conference on Advanced Video and Signal-based Surveillance (AVSS-2005), September 15-16, 2005, Como, Italy. Personal use o...
Michael Harville
ECCV
2008
Springer
15 years 1 months ago
Multi-camera Tracking and Atypical Motion Detection with Behavioral Maps
Abstract. We introduce a novel behavioral model to describe pedestrians motions, which is able to capture sophisticated motion patterns resulting from the mixture of different cate...
Jérôme Berclaz, François Fleur...
CVPR
2006
IEEE
15 years 1 months ago
Efficient Optimal Kernel Placement for Reliable Visual Tracking
This paper describes a novel approach to optimal kernel placement in kernel-based tracking. If kernels are placed at arbitrary places, kernel-based methods are likely to be trappe...
Zhimin Fan, Ming Yang, Ying Wu, Gang Hua, Ting Yu
CVPR
2004
IEEE
15 years 1 months ago
A Probabilistic Framework for Combining Tracking Algorithms
For the past few years researches have been investigating enhancing tracking performance by combining several different tracking algorithms. We propose an analytically justified, ...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin