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ECCV
1992
Springer
16 years 8 months ago
Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences
This paper presents a method for incrementally segmenting images over time using both intensity and motion information. This is done by formulating a model of physically signi cant...
Michael J. Black
ICIP
2008
IEEE
16 years 8 months ago
Kernel-based high-dimensional histogram estimation for visual tracking
We propose an approach for non-rigid tracking that represents objects by their set of distribution parameters. Compared to joint histogram representations, a set of parameters suc...
Allen Tannenbaum, James G. Malcolm, Peter Karasev
ICIP
2005
IEEE
16 years 8 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
ICIP
2003
IEEE
16 years 8 months ago
Graph-based object tracking
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
Cristina Gomila, Fernand Meyer
ICPR
2008
IEEE
16 years 7 months ago
Tracking of articulated pose and motion with a markerized grid suit
Despite leaps in motion capture technology, the dichotomy between unencumbered vision-based motion recovery and the prevailing marker-assisted motion capture solution remains larg...
Anthony C. Fang, Jayashree Karlekar, Sang N. Le