Classification of Moving Targets Based on Motion And Appearance
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Classification of Moving Targets Based on Motion and Appearance.
In BMVC03, 2003
Online Version
A pdf version is available for download.
Abstract
We describe a system for detection and classification of moving targets. The system includes change detection and tracking modules, which are based on adaptive background, updated with information from target level processing. The classification module performs hybrid classification which combines motion and appearance features. The system is able to perform real time detection, tracking and classification of different types of targets in natural, real life setting. Experiments demonstrate that the proposed hybrid architecture of classifiers improves classification significantly.
Co-authors
Bibtex Entry
@inproceedings{BogomolovDLRR03i,
title = {Classification of Moving Targets Based on Motion and Appearance},
author = {Yuri Bogomolov and Gideon Dror and Stanislav Lapchev and Ehud Rivlin and Michael Rudzsky},
year = {2003},
booktitle = {BMVC03},
abstract = {We describe a system for detection and classification of moving targets. The system includes change detection and tracking modules, which are based on adaptive background, updated with information from target level processing. The classification module performs hybrid classification which combines motion and appearance features. The system is able to perform real time detection, tracking and classification of different types of targets in natural, real life setting. Experiments demonstrate that the proposed hybrid architecture of classifiers improves classification significantly.}
}