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Multiple Human Tracking Based on Multi-View Upper-Body Detection and Discriminative Learning
 

Summary: Multiple Human Tracking Based on Multi-View Upper-Body Detection and
Discriminative Learning
Junliang Xing, Haizhou Ai
Department of Computer Science and Technology
Tsinghua University
Beijing 100084, China
Email: ahz@mail.tsinghua.edu.cn
Shihong Lao
Core Technology Center
Omron Corporation
Kyoto 619-0283, Japan
Email: lao@ari.ncl.omron.co.jp
Abstract--This paper focuses on the problem of tracking
multiple humans in dense environments which is very chal-
lenging due to recurring occlusions between different humans.
To cope with the difficulties it presents, an offline boosted multi-
view upper-body detector is used to automatically initialize a
new human trajectory and is capable of dealing with partial
human occlusions. What is more, an online learning process is
proposed to learn discriminative human observations, including

  

Source: Ai, Haizhou - Department of Computer Science and Technology, Tsinghua University

 

Collections: Computer Technologies and Information Sciences