A novel evidence accumulation framework for robust multi-camera person detection and tracking (パターン認識・メディア理解)

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概要

• 論文の詳細を見る

• We propose a novel evidence accumulation framework that accurately estimates the positions of humans in a 3D environment using camera networks. The framework consists of a network of distributed agents having different functionalities. The modular structure of the network allows scalability to large surveillance areas and robust operation. The framework does not assume reliable measurements in single cameras (referred to as 'sensing agents' in our framework) or reliable communication between different agents. There is a position uncertainty associated with single camera measurements and it is reduced through an uncertainty reducing transform that performs evidence accumulation using multiple camera measurements. Our framework has the advantage that single camera measurements do not need to be temporally synchronized to perform evidence accumulation. The system has been tested for detecting single or multiple humans in the environment. We conducted experiments to evaluate the localization accuracy of the position estimates obtained from the system by comparing them with the ground truth. We also developed a system capable of tracking and interacting with humans in motion to support human activities.

• 社団法人電子情報通信学会の論文
• 2008-11-20

著者

• Srivastava Gaurav

  Robot Vision Laboratory Purdue University

• Miyoshi Takashi

  Future Creation Laboratory Olympus Corporation

• Kosaka Akio

  Future Creation Laboratory Olympus Corporation:robot Vision Laboratory Purdue University

• Iwaki Hidekazu

  Future Creation Laboratory, Olympus Corporation

• Park Johnny

  Robot Vision Laboratory, Purdue University

• Kak Avinash

  Robot Vision Laboratory, Purdue University

• Kak Avinash

  Robot Vision Laboratory Purdue University

• Park Johnny

  Robot Vision Laboratory Purdue University

• Iwaki Hidekazu

  Future Creation Laboratory Olympus Corporation

関連論文

• A novel evidence accumulation framework for robust multi-camera person detection and tracking (マルチメディア・仮想環境基盤)
• A novel evidence accumulation framework for robust multi-camera person detection and tracking (パターン認識・メディア理解)
• A novel evidence accumulation framework for robust multi-camera person detection and tracking (コンピュータビジョンとイメージメディア)

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