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CVPR
2005
IEEE
16 years 8 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
ICPR
2010
IEEE
16 years 1 months ago
A Unified Probabilistic Approach to Feature Matching and Object Segmentation
This paper deals with feature matching and segmentation of common objects in a pair of images, simultaneously. For the feature matching problem, the matching likelihoods of all fea...
Tae Hoon Kim (Seoul National University), Kyoung M...
CAIP
2009
Springer
252views Image Analysis» more  CAIP 2009»
16 years 1 months ago
Incorporating Shape Features in an Appearance-Based Object Detection System
Most object detection techniques discussed in the literature are based solely on texture-based features that capture the global or local appearance of an object. While results indi...
Gurman Gill, Martin Levine
ICARCV
2008
IEEE
154views Robotics» more  ICARCV 2008»
16 years 28 days ago
Detecting spurious features using parity space
—Detection of spurious features is instrumental in many computer vision applications. The standard approach is feature based, where extracted features are matched between the ima...
David Törnqvist, Thomas B. Schön, Fredri...
ICB
2007
Springer
129views Biometrics» more  ICB 2007»
16 years 19 days ago
Feature Correlation Filter for Face Recognition
The correlation filters for pattern recognition, have been extensively studied in the areas of automatic target recognition(ATR) and biometrics. Whereas the conventional correlati...
XiangXin Zhu, ShengCai Liao, Zhen Lei, Rong Liu, S...