Person tracking in UAV video

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4625 LNCS, Issue , 2008, Pages 215-220

  Miller, Andrew ^a   Babenko, Pavel ^a   Hu, Min ^a   Shah, Mubarak ^a  

^a UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHALLENGING PROBLEM; HEIDELBERG (CO); INTERNATIONAL (CO); IR IMAGERY; LOW QUALITY (LQ); MULTI-MODAL; PATTERN CLASSIFICATIONS; PERSON TRACKING; POINT DETECTION; THRESHOLDING;

UNMANNED AERIAL VEHICLES (UAV);

MOTION COMPENSATION;

EID: 47749109841     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-68585-2_19     Document Type: Conference Paper

References (5)

1. Ali, S., Shah, M.: Cocoa - tracking in aerial imagery. In: SPIE Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications, Orlando (2006)
2. Javed, O., Shah, M.: Tracking and object classification for automated surveillance. In: The Seventh European Conference on Computer Vision, Denmark (2002)
3. Sheikh, Y., Zhai, Y., Shah, M.: An accumulative framework for alignment of an image sequence. In: Proceedings of Asian Conference on Computer Vision (2004)
4. Shafique, K., Shah, M.: A noniterative greedy algorithm for multiframe point correspondence. In: IEEE Trans. Pattern Anal. Mach. Intell. (2005)
5. Ahmed, J., Jafri, M.N., Shah, M., Akbar, M.: Real-time edge-enhanced dynamic correlation and predictive open-loop car-following control for robust tracking. Machine Vision and Applications Journal, Manuscript submission ID MVA-May-06-0110 (accepted, 2007)