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 language | English (US) |
|---|---|
| Pages (from-to) | 215-220 |
| Number of pages | 6 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 4625 LNCS |
| DOIs | |
| State | Published - Jul 28 2008 |
| Externally published | Yes |
| Event | 2nd Annual Classifcation of Events Activities and Relationships, CLEAR 2007 and Rich Transcription, RT 2007 - Baltimore, MD, United States Duration: May 8 2007 → May 11 2007 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)