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ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
16 years 11 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...
ICCV
2009
IEEE
16 years 11 months ago
Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets
We present an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature...
Prakash Chockalingam, Nalin Pradeep
ICCV
2003
IEEE
16 years 8 months ago
Tracking Objects Using Density Matching and Shape Priors
We present a novel method for tracking objects by combining density matching with shape priors. Density matching is a tracking method which operates by maximizing the Bhattacharyy...
Tao Zhang, Daniel Freedman
ICIP
2006
IEEE
16 years 8 months ago
Recognition of Multi-Object Events Using Attribute Grammars
* We present a method for representing and recognizing visual events using attribute grammars. In contrast to conventional grammars, attribute grammars are capable of describing fe...
Seong-Wook Joo, Rama Chellappa
ICIP
2002
IEEE
16 years 8 months ago
Segmentation of non-rigid video objects using long term temporal consistency
This paper presents a new object-based segmentation technique which exploits a large temporal context in order to get coherent and robust segmentation results. The segmentation pr...
Henri Nicolas, Marc Chaumont, Stéphane Pate...