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» Object Classification in Visual Surveillance Using Adaboost
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ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Improved face finding in visually challenging environments
Finding faces in visually challenging environments is crucial to many applications, such as audio-visual automatic speech recognition, video indexing, person recognition, and vide...
Jintao Jiang, Gerasimos Potamianos, Giridharan Iye...
86
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AVSS
2007
IEEE
15 years 3 months ago
Experiments with patch-based object classification
We present and experiment with a patch-based algorithm for the purpose of object classification in video surveillance. A feature vector is calculated based on template matching o...
Rob G. J. Wijnhoven, Peter H. N. de With
AVSS
2009
IEEE
15 years 4 months ago
Context-Based Reasoning Using Ontologies to Adapt Visual Tracking in Surveillance
— Classical tracking methods are often insufficient when dealing with complex scenarios. In order to solve tracking errors, innovative techniques based on the use of information ...
Juan Gómez-Romero, Miguel A. Patricio, Jes&...
ICPR
2008
IEEE
15 years 10 months ago
People and luggage recognition in airport surveillance under real-time constraints
This paper describes an approach to classify people, groups of people and luggage in the halls of an airport. The algorithm is included into a surveillance system which tracks and...
Vicente Luis Atienza Vanacloig, Juan Alfonso Rosel...
PAMI
2008
220views more  PAMI 2008»
14 years 9 months ago
Pedestrian Detection via Classification on Riemannian Manifolds
Detecting different categories of objects in image and video content is one of the fundamental tasks in computer vision research. The success of many applications such as visual s...
Oncel Tuzel, Fatih Porikli, Peter Meer