A Method for Monitoring Activities of Multiple Objects by Using Stochastic Model(Special Issue on Machine Vision Applications)

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2001-12-01

著者

• Enomoto Nobuyoshi

  First Department Of Internal Medicine University Of Yamanashi

• KANADE Takeo

  Digital Human Research Center, National Institute of Advance Industrial Science and Technology

• Kanade T

  Digital Human Research Center National Institute Of Advance Industrial Science And Technology

• Kanade Takeo

  The Robotics Institute Carnegie Mellon University.

• Fujiyoshi H

  Chubu Univ. Kasugai‐shi Jpn

• ENOMOTO Nobuyoshi

  e-SOLUTIONS COMPANY, TOSHIBA CORPORATION

• FUJIYOSHI Hironobu

  the Department of Computer Science, Chubu University

• HASEGAWA Osamu

  Neuroscience Research Institute, Advanced Industrial Science and Technology

• Hasegawa Osamu

  Neuroscience Research Institute Advanced Industrial Science And Technology

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• A Method for Monitoring Activities of Multiple Objects by Using Stochastic Model(Special Issue on Machine Vision Applications)

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