Title
Person Tracking In Uav Video
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. © 2008 Springer-Verlag Berlin Heidelberg.
Publication Date
7-28-2008
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
4625 LNCS
Number of Pages
215-220
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-540-68585-2_19
Copyright Status
Unknown
Socpus ID
47749109841 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/47749109841
STARS Citation
Miller, Andrew; Babenko, Pavel; Hu, Min; and Shah, Mubarak, "Person Tracking In Uav Video" (2008). Scopus Export 2000s. 10318.
https://stars.library.ucf.edu/scopus2000/10318