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CVPR
1999
IEEE
16 years 1 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg
CVPR
2005
IEEE
16 years 1 months ago
Tracking Multiple Objects through Occlusions
We present an approach for tracking varying number of objects through both temporally and spatially significant occlusions. Our method builds on the idea of object permanence to r...
Yan Huang, Irfan A. Essa
ICCV
2003
IEEE
16 years 1 months ago
Video Google: A Text Retrieval Approach to Object Matching in Videos
We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a set...
Josef Sivic, Andrew Zisserman
ICIP
2005
IEEE
16 years 1 months ago
Spatio-temporal texture synthesis and image inpainting for video applications
In this paper we investigate the application of texture synthesis and image inpainting techniques for video applications. Working in the non-parametric framework, we use 3D patche...
Sanjeev Kumar, Mainak Biswas, Serge J. Belongie, T...
ICIP
1999
IEEE
16 years 1 months ago
A Framework for Measuring Video Similarity and Its Application to Video Query by Example
The usefulness of a video database relies on whether the video of interest can be easily located. To allow exploring, browsing, and retrieving videos according to their visual con...
Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadg...