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» Object detection using spatial histogram features
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ICPR
2008
IEEE
15 years 10 months ago
Recognizing actions from still images
In this paper, we approach the problem of understanding human actions from still images. Our method involves representing the pose with a spatial and orientational histogramming o...
Nazli Ikizler, Pinar Duygulu, Ramazan Gokberk Cinb...
ICDM
2003
IEEE
170views Data Mining» more  ICDM 2003»
15 years 2 months ago
Algorithms for Spatial Outlier Detection
A spatial outlier is a spatially referenced object whose non-spatial attribute values are significantly different from the values of its neighborhood. Identification of spatial ...
Chang-Tien Lu, Dechang Chen, Yufeng Kou
83
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CLOR
2006
15 years 1 months ago
Object Detection and Localization Using Local and Global Features
Traditional approaches to object detection only look at local pieces of the image, whether it be within a sliding window or the regions around an interest point detector. However, ...
Kevin P. Murphy, Antonio B. Torralba, Daniel Eaton...
DICTA
2008
14 years 11 months ago
Object Detection Using Multi-local Feature Manifolds
Many object categories are better characterized by the shape of their contour than by local appearance properties like texture or color. Multi-local features are designed in order...
Oscar M. Danielsson, Stefan Carlsson, Josephine Su...
ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...