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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
107
Voted
IROS
2009
IEEE
126views Robotics» more  IROS 2009»
15 years 8 months ago
Hierarchical appearance-based classifiers for qualitative spatial localization
—This paper presents a novel appearance-based technique for qualitative spatial localization. A vocabulary of visual words is built automatically, representing local features tha...
Ehsan Fazl Ersi, James H. Elder, John K. Tsotsos
BMVC
2010
14 years 12 months ago
Embedding Visual Words into Concept Space for Action and Scene Recognition
In this paper we propose a novel approach to introducing semantic relations into the bag-of-words framework. We use the latent semantic models, such as LSA and pLSA, in order to d...
Behrouz Khadem, Elahe Farahzadeh, Deepu Rajan, And...
124
Voted
ICPR
2008
IEEE
15 years 8 months ago
SIFT features for object recognition and tracking within the IVSEE system
In this paper, we study the feasibility of SIFT features for the tasks of object recognition and tracking within the framework of the IVSEE system design. The IVSEE system is inte...
Fernando López-García
GECCO
2004
Springer
179views Optimization» more  GECCO 2004»
15 years 7 months ago
Feature Synthesis Using Genetic Programming for Face Expression Recognition
In this paper a novel genetically-inspired learning method is proposed for face expression recognition (FER) in visible images. Unlike current research for FER that generally uses ...
Bir Bhanu, Jiangang Yu, Xuejun Tan, Yingqiang Lin