Person Tracking in UAV Video

Authors:
Andrew Miller;Pavel Babenko;Min Hu;Mubarak Shah
Affiliations:
Computer Vision Lab at University of Central Florida,;Computer Vision Lab at University of Central Florida,;Computer Vision Lab at University of Central Florida,;Computer Vision Lab at University of Central Florida,
Venue:
Multimodal Technologies for Perception of Humans
Year:
2008

Citing 3
Cited 1

Tracking and Object Classification for Automated Surveillance

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
A Noniterative Greedy Algorithm for Multiframe Point Correspondence

IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time edge-enhanced dynamic correlation and predictive open-loop car-following control for robust tracking

Machine Vision and Applications

Geometric constraints for human detection in aerial imagery

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI

Quantified Score

Hi-index	0.00

Visualization

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.