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ICIP
2002
IEEE
16 years 1 months ago
Likelihood-based object detection and object tracking using color histograms and EM
The topic of this paper is the integration of Expectation Maximization (EM) background modeling and template matching using color histograms as templates to improve person trackin...
Paul J. Withagen, Klamer Schutte, Frans C. A. Groe...
DSSCV
2005
Springer
15 years 5 months ago
Using Top-Points as Interest Points for Image Matching
We consider the use of so-called top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offse...
Bram Platel, Evguenia Balmachnova, Luc Florack, Fr...
CVPR
2011
IEEE
14 years 7 months ago
Learning and Matching Multiscale Template Descriptors for Real-Time Detection, Localization and Tracking
We describe a system to learn an object template from a video stream, and localize and track the corresponding object in live video. The template is decomposed into a number of lo...
Taehee Lee, Stefano Soatto
ECCV
2008
Springer
16 years 1 months ago
Shape Matching by Segmentation Averaging
We use segmentations to match images by shape. To address the unreliability of segmentations, we give a closed form approximation to an average over all segmentations. Our techniqu...
Hongzhi Wang, John Oliensis
CAIP
2009
Springer
220views Image Analysis» more  CAIP 2009»
15 years 6 months ago
Cooperative Stereo Matching with Color-Based Adaptive Local Support
Color processing imposes a new constraint on stereo vision algorithms: The assumption of constant color on object surfaces used to align local correlation windows with object bound...
Roland Brockers