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BMVC
2010
15 years 3 months ago
Improving object classification using semantic attributes
This paper shows how semantic attribute features can be used to improve object classification performance. The semantic attributes used fall into five groups: scene (e.g. `road�...
Yu Su, Moray Allan, Frédéric Jurie
CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
17 years 28 days ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
125
Voted
ICPR
2008
IEEE
16 years 7 days ago
Metal-dielectric object classification by polarization degree map
Material classification of object surfaces from captured image data is an essential problem in computer vision. The present paper proposes a method for stably classifying the mate...
Shoji Tominaga, Tetsuya Yamamoto
164
Voted
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
16 years 10 months ago
On Feature Combination for Multiclass Object Classification
A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intra-class variations. Whil...
Peter Gehler, Sebastian Nowozin
131
Voted
ICCBR
2009
Springer
16 years 11 days ago
Case-Based Collective Inference for Maritime Object Classification
Maritime assets such as merchant and navy ships, ports, and harbors, are targets of terrorist attacks as evidenced by the USS Cole bombing. Conventional methods of securing maritim...
Kalyan Moy Gupta, David W. Aha, Philip Moore