Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Multi-Object Tracking through Occlusions by Local Tracklets Filtering and Global Tracklets Association with Detection Responses
 

Summary: Multi-Object Tracking through Occlusions by Local Tracklets Filtering and
Global Tracklets Association with Detection Responses
Junliang Xing, Haizhou Ai
Computer Science and Technology Dept.
Tsinghua University, Beijing, China
ahz@mail.tsinghua.edu.cn
Shihong Lao
Core Technology Center
Omron Corporation, Kyoto, Japan
lao@ari.ncl.omron.co.jp
Abstract
This paper presents an online detection-based two-stage
multi-object tracking method in dense visual surveillances
scenarios with a single camera. In the local stage, a par-
ticle filter with observer selection that could deal with par-
tial object occlusion is used to generate a set of reliable
tracklets. In the global stage, the detection responses are
collected from a temporal sliding window to deal with am-
biguity caused by full object occlusion to generate a set of
potential tracklets. The reliable tracklets generated in the

  

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

 

Collections: Computer Technologies and Information Sciences