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» Motion Detection using a Model of Visual Attention
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ISVC
2010
Springer
15 years 5 days ago
Attention-Based Target Localization Using Multiple Instance Learning
Abstract. We propose a novel Multiple Instance Learning (MIL) framework to perform target localization from image sequences. The proposed approach consists of a softmax logistic re...
Karthik Sankaranarayanan, James W. Davis
112
Voted
3DPVT
2004
IEEE
108views Visualization» more  3DPVT 2004»
15 years 5 months ago
Unsupervised Motion Classification by Means of Efficient Feature Selection and Tracking
This paper presents an efficient technique for human motion recognition; in particular, it is focused on labeling a movement as a walking or running displacement, which are the mo...
Angel Domingo Sappa, Niki Aifanti, Sotiris Malassi...
PAMI
2010
192views more  PAMI 2010»
15 years 4 days ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum
140
Voted
AVSS
2007
IEEE
15 years 8 months ago
Sign language detection using 3D visual cues
A 3D visual hand gesture recognition method is proposed that detects correctly performed signs from stereo camera input. Hand tracking is based on skin detection with an adaptive ...
Jeroen Lichtenauer, Gineke A. ten Holt, Emile A. H...
ICIP
2008
IEEE
16 years 3 months ago
Feature-based object modelling for visual surveillance
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
Gary Baugh, Anil C. Kokaram