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AVSS
2006
IEEE
15 years 1 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
79
Voted
ICIP
2002
IEEE
15 years 2 months ago
Segmentation-based object tracking using image warping and Kalman filtering
We propose a segmentation-based method of object tracking using image warping and Kalman filtering. The object region is defined to include a group of patches, which are obtained ...
Yu Huang, Thomas S. Huang, Heinrich Niemann
ICASSP
2011
IEEE
14 years 1 months ago
Parametric modeling and linear estimation of elastic deformations
We present a novel method to model and estimate elastic geometric deformations of an observed object, whether they are caused by the object’s own dynamic behavior, or by the dyn...
Nadav Geva, Rami Hagege, Joseph M. Francos
67
Voted
VISUALIZATION
1997
IEEE
15 years 1 months ago
Visualization of height field data with physical models and texture photomapping
This paper discusses a unique way to visualize height field data – the use of solid fabricated parts with a photomapped texture to display scalar information. In this process, t...
Dru Clark, Michael J. Bailey
CBMS
2002
IEEE
15 years 2 months ago
Content-Based and Metadata Retrieval in Medical Image Database
The need for systems that can stock, represent, and provide efficient retrieval facilities of images of particular interest is becoming very high in medicine. In this respect, a l...
Solomon Atnafu, Richard Chbeir, Lionel Brunie