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» Further results for ARX models in adaptive tracking
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VIP
2003
13 years 10 months ago
Tracking Using CamShift Algorithm and Multiple Quantized Feature Spaces
The Continuously Adaptive Mean Shift Algorithm (CamShift) is an adaptation of the Mean Shift algorithm for object tracking that is intended as a step towards head and face trackin...
John G. Allen, Richard Y. D. Xu, Jesse S. Jin
AISS
2010
169views more  AISS 2010»
13 years 6 months ago
Effective Lane Detection and Tracking Method Using Statistical Modeling of Color and Lane Edge-orientation
This paper proposes an effective lane detection and tracking method using statistical modeling of lane color and edge-orientation in the image sequence. At first, we will address ...
Jin-Wook Lee, Jae-Soo Cho
NECO
2007
108views more  NECO 2007»
13 years 8 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
TREC
2000
13 years 10 months ago
TREC-9 Cross Language, Web and Question-Answering Track Experiments using PIRCS
In TREC-9, we participated in the English-Chinese Cross Language, 10GB Web data ad-hoc retrieval as well as the Question-Answering tracks, all using automatic procedures. All thes...
Kui-Lam Kwok, Laszlo Grunfeld, Norbert Dinstl, M. ...
ICIP
2008
IEEE
14 years 3 months ago
An adaptive background model initialization algorithm with objects moving at different depths
Background subtraction is an essential element in most object tracking and video surveillance systems. The success of this low-level processing step is highly dependent on the qua...
Chia-Chih Chen, J. K. Aggarwal