A Method for Monitoring Activities of Multiple Objects by Using Stochastic Model
Summary :
We present a method for estimating activities of multiple, interacting objects detected by a video surveillance system. The activities are described in a stochastic context because our method is concerned with humans and uses noisy features detected from video. To monitor activities in this context, we introduce the concept of an attribute set for each blob, consisting of object type, action, and interaction. Using probabilistic relations introduced by a specific Markov model of these attribute sets, the activity descriptions are estimated from surveillance video.
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- IEICE TRANSACTIONS on Information Vol.E84-D No.12 pp.1705-1712
- Publication Date
- 2001/12/01
- Publicized
- Online ISSN
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- Type of Manuscript
- Special Section PAPER (Special Issue on Machine Vision Applications)
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Nobuyoshi ENOMOTO, Takeo KANADE, Hironobu FUJIYOSHI, Osamu HASEGAWA, "A Method for Monitoring Activities of Multiple Objects by Using Stochastic Model" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 12, pp. 1705-1712, December 2001, doi: .
Abstract: We present a method for estimating activities of multiple, interacting objects detected by a video surveillance system. The activities are described in a stochastic context because our method is concerned with humans and uses noisy features detected from video. To monitor activities in this context, we introduce the concept of an attribute set for each blob, consisting of object type, action, and interaction. Using probabilistic relations introduced by a specific Markov model of these attribute sets, the activity descriptions are estimated from surveillance video.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_12_1705/_p
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@ARTICLE{e84-d_12_1705,
author={Nobuyoshi ENOMOTO, Takeo KANADE, Hironobu FUJIYOSHI, Osamu HASEGAWA, },
journal={IEICE TRANSACTIONS on Information},
title={A Method for Monitoring Activities of Multiple Objects by Using Stochastic Model},
year={2001},
volume={E84-D},
number={12},
pages={1705-1712},
abstract={We present a method for estimating activities of multiple, interacting objects detected by a video surveillance system. The activities are described in a stochastic context because our method is concerned with humans and uses noisy features detected from video. To monitor activities in this context, we introduce the concept of an attribute set for each blob, consisting of object type, action, and interaction. Using probabilistic relations introduced by a specific Markov model of these attribute sets, the activity descriptions are estimated from surveillance video.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - A Method for Monitoring Activities of Multiple Objects by Using Stochastic Model
T2 - IEICE TRANSACTIONS on Information
SP - 1705
EP - 1712
AU - Nobuyoshi ENOMOTO
AU - Takeo KANADE
AU - Hironobu FUJIYOSHI
AU - Osamu HASEGAWA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2001
AB - We present a method for estimating activities of multiple, interacting objects detected by a video surveillance system. The activities are described in a stochastic context because our method is concerned with humans and uses noisy features detected from video. To monitor activities in this context, we introduce the concept of an attribute set for each blob, consisting of object type, action, and interaction. Using probabilistic relations introduced by a specific Markov model of these attribute sets, the activity descriptions are estimated from surveillance video.
ER -
English
