Person tracking in UAV video

Andrew Miller, Pavel Babenko, Min Hu, Mubarak Shah

Research output: Contribution to journalConference article

Abstract

The UAV person tracking task for this evaluation was particularly difficult because of large, complicated, and low-quality videos, with only small images of people. We found that our best results were obtained using a combination of intensity thresholding (for IR imagery), motion compensation, interest-point detection and correspondence, and pattern classification. This can be considered a preliminary exploration into an extremely challenging problem.

Original languageEnglish (US)
Pages (from-to)215-220
Number of pages6
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4625 LNCS
DOIs
StatePublished - Jul 28 2008
Externally publishedYes
Event2nd Annual Classifcation of Events Activities and Relationships, CLEAR 2007 and Rich Transcription, RT 2007 - Baltimore, MD, United States
Duration: May 8 2007May 11 2007

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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