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Fast image-based tracking by selective pixel integration (1999)
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| Venue: | In Proceedings of the ICCV Workshop on Frame-Rate Vision |
| Citations: | 40 - 3 self |
BibTeX
@INPROCEEDINGS{Dellaert99fastimage-based,
author = {Frank Dellaert and Robert Collins},
title = {Fast image-based tracking by selective pixel integration},
booktitle = {In Proceedings of the ICCV Workshop on Frame-Rate Vision},
year = {1999},
pages = {1--22},
publisher = {Academic Press}
}
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Abstract
We provide a fast algorithm to perform image-based tracking, which relies on the selective integration of a small subset of pixels that contain a lot of information about the state variables to be estimated. The resulting dramatic decrease in the number of pixels to process results in a substantial speedup of the basic tracking algorithm. We have used this new method within a surveillance application, where it will enable new capabilities of the system, i.e. real-time, dynamic background subtraction from a panning and tilting camera. 1 Introduction/Philosophical Approach One of the fundamental tasks of real-time processing has been image-based tracking through a video sequence using a parametric motion model. This includes both tracking of a moving object through an image sequence [5] as well as registering of whole images to a reference view to provide software video stabilization
Keyphrases
image-based tracking selective pixel integration video sequence new method real-time processing basic tracking algorithm fast algorithm dramatic decrease image sequence state variable surveillance application introduction philosophical approach fundamental task small subset selective integration moving object substantial speedup parametric motion model reference view whole image dynamic background subtraction new capability software video stabilization
