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» Object detection using spatial histogram features
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TMM
2008
167views more  TMM 2008»
15 years 2 months ago
Mining Appearance Models Directly From Compressed Video
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...
Datong Chen, Qiang Liu, Mingui Sun, Jie Yang
161
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Feature-based global motion estimation using the Helmholtz principle
Global motion estimation is an important task for various video processing techniques. The estimation itself has to be robust in presence of arbitrarily moving foreground objects....
Michael Tok, Alexander Glantz, Andreas Krutz, Thom...
AUSAI
2006
Springer
15 years 6 months ago
Data Clustering and Visualization Using Cellular Automata Ants
This paper presents two novel features of an emergent data visualization method coined "cellular ants": unsupervised data class labeling and shape negotiation. This metho...
Andrew Vande Moere, Justin James Clayden, Andy Don...
139
Voted
CVPR
2007
IEEE
16 years 4 months ago
Semantic Hierarchies for Visual Object Recognition
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior kno...
Marcin Marszalek, Cordelia Schmid
102
Voted
SMC
2007
IEEE
130views Control Systems» more  SMC 2007»
15 years 8 months ago
A flow based approach for SSH traffic detection
— The basic objective of this work is to assess the utility of two supervised learning algorithms AdaBoost and RIPPER for classifying SSH traffic from log files without using f...
Riyad Alshammari, A. Nur Zincir-Heywood