The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article décrit une nouvelle méthode de détection et de suivi d'objets en mouvement à partir d'une séquence d'images de caméra en mouvement à l'aide d'une estimation robuste et de modèles de contours actifs. Nous supposons que le mouvement apparent de l’arrière-plan entre deux images consécutives peut être approximé par transformation affine. Afin d'enregistrer le fond statique, nous estimons les paramètres de transformation affine en utilisant la méthode LMedS (Least Median of Squares) qui est une sorte d'estimateur robuste. Des modèles de contour divisés et fusionnés sont utilisés pour suivre plusieurs objets en mouvement. L'énergie d'image des modèles de contour est définie sur la base de l'image qui est obtenue en soustrayant la trame précédente transformée avec des paramètres affines estimés de la trame actuelle. Nous avons implémenté la méthode sur un système de traitement d'image composé de cartes DSP pour le suivi en temps réel d'objets en mouvement à partir d'une séquence d'images de caméra en mouvement.
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Shoichi ARAKI, Takashi MATSUOKA, Naokazu YOKOYA, Haruo TAKEMURA, "Real-Time Tracking of Multiple Moving Object Contours in a Moving Camera Image Sequence" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 7, pp. 1583-1591, July 2000, doi: .
Abstract: This paper describes a new method for detection and tracking of moving objects from a moving camera image sequence using robust estimation and active contour models. We assume that the apparent background motion between two consecutive image frames can be approximated by affine transformation. In order to register the static background, we estimate affine transformation parameters using LMedS (Least Median of Squares) method which is a kind of robust estimator. Split-and-merge contour models are employed for tracking multiple moving objects. Image energy of contour models is defined based on the image which is obtained by subtracting the previous frame transformed with estimated affine parameters from the current frame. We have implemented the method on an image processing system which consists of DSP boards for real-time tracking of moving objects from a moving camera image sequence.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_7_1583/_p
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@ARTICLE{e83-d_7_1583,
author={Shoichi ARAKI, Takashi MATSUOKA, Naokazu YOKOYA, Haruo TAKEMURA, },
journal={IEICE TRANSACTIONS on Information},
title={Real-Time Tracking of Multiple Moving Object Contours in a Moving Camera Image Sequence},
year={2000},
volume={E83-D},
number={7},
pages={1583-1591},
abstract={This paper describes a new method for detection and tracking of moving objects from a moving camera image sequence using robust estimation and active contour models. We assume that the apparent background motion between two consecutive image frames can be approximated by affine transformation. In order to register the static background, we estimate affine transformation parameters using LMedS (Least Median of Squares) method which is a kind of robust estimator. Split-and-merge contour models are employed for tracking multiple moving objects. Image energy of contour models is defined based on the image which is obtained by subtracting the previous frame transformed with estimated affine parameters from the current frame. We have implemented the method on an image processing system which consists of DSP boards for real-time tracking of moving objects from a moving camera image sequence.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - Real-Time Tracking of Multiple Moving Object Contours in a Moving Camera Image Sequence
T2 - IEICE TRANSACTIONS on Information
SP - 1583
EP - 1591
AU - Shoichi ARAKI
AU - Takashi MATSUOKA
AU - Naokazu YOKOYA
AU - Haruo TAKEMURA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2000
AB - This paper describes a new method for detection and tracking of moving objects from a moving camera image sequence using robust estimation and active contour models. We assume that the apparent background motion between two consecutive image frames can be approximated by affine transformation. In order to register the static background, we estimate affine transformation parameters using LMedS (Least Median of Squares) method which is a kind of robust estimator. Split-and-merge contour models are employed for tracking multiple moving objects. Image energy of contour models is defined based on the image which is obtained by subtracting the previous frame transformed with estimated affine parameters from the current frame. We have implemented the method on an image processing system which consists of DSP boards for real-time tracking of moving objects from a moving camera image sequence.
ER -