Tracking multiple vehicles in airborne image sequences of complex urban environments

2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings

Volumn , Issue , 2011, Pages 13-16

  Szottka, Isabella ^a   Butenuth, Matthias ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ABRUPT MOTION; AIRBORNE IMAGES; BIPARTITE GRAPHS; CLUSTERING METHODS; COLOR INFORMATION; DATA ASSOCIATION PROBLEM; FRAME RATE; ILLUMINATION CHANGES; IMAGE FRAMES; INDIVIDUAL PARTICLES; LOW RESOLUTION; MAXIMUM WEIGHTED MATCHING; MEAN SHIFT; MOTION MODELS; OBSERVATION MODEL; PARTICLE POSITION; PARTICLE-BASED METHODS; TRACKING PERFORMANCE; TRACKING SYSTEM; TRAFFIC DYNAMICS; TRAFFIC SCENE; URBAN ENVIRONMENTS;

REMOTE SENSING; TARGET TRACKING; URBAN PLANNING;

VEHICLES;

EID: 79957664101     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/JURSE.2011.5764707     Document Type: Conference Paper

References (12)

1. S. Arulampalam, S. Maskell, N. Gordon, T. Clapp, "A Tutorial on Particle Filters for On-line Non-linear/Non-Gaussian Bayesian Tracking", IEEE Transactions on Signal Processing, Vol. 50, 2001, pp. 174-188
2. M. Butenuth, P. Reinartz, D. Lenhart, D. Rosenbaum, S. Hinz, "Analysis of Image Sequences for the Detection and Monitoring of Moving Traffic", PFG Photogrammetrie, Fernerkundung, Geoinformation, Vol. 5, 2009, pp. 421-430
3. D. Comaniciu, P. Meer, "Mean Shift: A Robust Approach Toward Feature Space Analysis", Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, 2002, pp. 603-619
4. D. Comaniciu, V. Ramesh, P. Meer, "Real-time Tracking of Non-Rigid Objects Using Mean Shift", Proceedings of the Conference on Computer Vision and Pattern Recognition, Vol. 2, 2000, pp. 142-149
5. A. Doucet, "On Sequential Simulation-Based Methods for Bayesian Filtering", Technical Report CUED/F-INFENG/TR. 310, Cambridge University Department of Engineering, 1998
6. S. Hinz, R. Bamler, U. Stilla, Theme issue "Airborne and Spaceborne Traffic Monitoring", ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 61, No. 3/4, 2006, pp. 135-280
7. M. Isard, A. Blake, "CONDENSATION - Conditional Density Propagation for Visual Tracking", International Journal of Computer Vision, Vol. 29, 1998, pp. 5-28
8. H. W. Kuhn, "The Hungarian Method for the Assignment Problem", Naval Research Logistics Quarterly, Vol. 2, No. 1-2, 1955, pp. 83-97
9. X. R. Li, V. P. Jilkov, "A Survey of Maneuvering Target Tracking: Dynamic Models", Proceedings of the SPIE Conference on Signal and Data Processing of Small Targets, 2000, pp. 212-235
10. Y. Lin, Q. Yu, G. Medioni, "Efficient Detection and Tracking of Moving Objects in Geo-Coordinates", Machine Vision and Applications, 2010, pp. 1-16
11. P. Pérez, C. Hue, J. Vermaak, M. Gangnet, "Color-Based Probabilistic Tracking", Proceedings of the European Conference on Computer Vision, Springer, 2002, pp. 661-675
12. C. Steger, "Similarity Measures for Occlusion, Clutter, and Illumination Invariant Object Recognition", Lecture Notes in Computer Science, Vol. 2191, 2001, pp. 148-154