2A1-D10 Segmentation and Correspondence of Human Body from Multiple Camera System

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概要

• 論文の詳細を見る

• This paper describes a method to make correspondence people across multiple-views. For obtaining correspondences, the system has three steps such as motion detection, color segmentation and correspondence of people. The moving person is detected by subtraction from multiple background model. We in a process generate multiple background model from image sequence to obtain human silhouette. Furthermore, each detected silhouette from different views is segmented by specific criterion which consists of color and context information. The segmented region is represented as blobs with color distribution and a human consists of several blobs. We then estimate Gaussian mixture model from the set of blobs. Finally each region of blobs is matched with other blobs from different views to identify a same person.

• 一般社団法人日本機械学会の論文
• 2009-05-25

著者

• Jo Kang-hyun

  Department Mechanical Engineering For Computer-controlled Machinery Osaka University

• KIM Taeho

  Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and T

• Kim Taeho

  Department Of Electrical Engineering University Of Ulsan

• Chae Hyun-Uk

  Department of Electrical Engineering, University of Ulsan

• Jo Kang-hyun

  Department Of Electrical Engineering University Of Ulsan

• Chae Hyun-uk

  Department Of Electrical Engineering University Of Ulsan

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• 2A1-D10 Segmentation and Correspondence of Human Body from Multiple Camera System

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