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Multiple Objects Tracking across Multiple Non-Overlapped Views

  • Ke-Yin Chen
  • Chung-Lin Huang
  • Shih-Chung Hsu
  • I-Cheng Chang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7088)

Abstract

This paper introduces a tracking algorithm to track the multiple objects across multiple non-overlapped views. First, we track every single object in each single view and record its activity as the object-based video fragments (OVFs). By linking the related OVFs across different cameras, we may connect two OVFs across two non-overlapped views. Because of scene illumination change, blind region lingering, and objects similar appearance, we may have the problem of path misconnection and fragmentation. This paper develops the Error Path Detection Function (EPDF) and uses the augmented feature (AF) to solve those two problems.

Keywords

Object tracking Object-based Video Fragment (OVF) Augmented feature (AF) Error Path Detection Function (EPDF) 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ke-Yin Chen
    • 1
  • Chung-Lin Huang
    • 1
  • Shih-Chung Hsu
    • 1
  • I-Cheng Chang
    • 2
  1. 1.Department of Electrical EngineeringNational Tsing Hua UniversityHsin-ChuTaiwan
  2. 2.Department of Information Science and EngineeringNational Don-Hwa UniversityHa-LienTaiwan

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