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» Object Classification in Visual Surveillance Using Adaboost
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SPIEVIP
2010
14 years 12 months ago
Automatic scene activity modeling for improving object classification
In video surveillance, automatic methods for scene understanding and activity modeling can exploit the high redundancy of object trajectories observed over a long period of time. ...
Samuel Foucher, Marc Lalonde, Langis Gagnon
ASC
2008
14 years 9 months ago
Dynamic classification for video stream using support vector machine
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
Mariette Awad, Yuichi Motai
IJCV
2008
241views more  IJCV 2008»
14 years 9 months ago
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
Jim Mutch, David G. Lowe
CLOR
2006
15 years 1 months ago
Visual Classification by a Hierarchy of Extended Fragments
The chapter describes visual classification by a hierarchy of semantic fragments. In fragment-based classification, objects within a class are represented by common sub-structures ...
Shimon Ullman, Boris Epshtein
ICPR
2006
IEEE
15 years 10 months ago
ViSE: Visual Search Engine Using Multiple Networked Cameras
We propose a Visual Search Engine (ViSE) as a semi-automatic component in a surveillance system using networked cameras. The ViSE aims to assist the monitoring operation of huge a...
Anil K. Jain, Itaru Kitahara, Kiyoshi Kogure, Nori...