A scheme for the detection and tracking of people tuned for aerial image sequences

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

Volumn 6952 LNCS, Issue , 2011, Pages 257-270

  Schmidt, Florian ^a   Hinz, Stefan ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

Aerial image sequences; classifier training; object detection; people tracking

Indexed keywords

AERIAL IMAGE SEQUENCES; CLASSIFIER TRAINING; DETECTION AND TRACKING; HIGH ALTITUDE; OBJECT DETECTION; OBJECT DETECTORS; PEOPLE TRACKING; TEST SEQUENCE;

DETECTORS; IMAGE ANALYSIS; OBJECT RECOGNITION; PHOTOGRAMMETRY;

TARGET TRACKING;

EID: 80054042200     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24393-6_22     Document Type: Conference Paper

References (23)

1. Baumann, A., Boltz, M., Ebling, J., Koenig, M., Loos, H.S., Merkel, M., Niem, W., Warzelhan, J.K., Yu, J.: A review and comparison of measures for automatic video surveillance systems. EURASIP Journal on Image and Video Processing, 30 (2008)
2. Benedek, C., Sziranyi, T., Kato, Z., Zerubia, J.: Detection of object motion regions in aerial image pairs with a multilayer markovian model. IEEE Transactions on Image Processing 18(10), 2303-2315 (2009)
3. Betke, M., Hirsh, D.E., Bagchi, A., Hristov, N.I., Makris, N.C., Kunz, T.H.: Tracking large variable numbers of objects in clutter. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8 (2007)
4. Burkert, F., Schmidt, F., Butenuth, M., Hinz, S.: People tracking and trajectory interpretation in aerial image sequences. In: Photogrammetric Computer Vision and Image Analysis. IAPRS, vol. XXXVIII, Part 3A, pp. 209-214 (September 2010)
5. Collins, J., Uhlmann, J.: Efficient gating in data association with multivariate gaussian distributed states. IEEE Transactions on Aerospace and Electronic Systems 28(3), 909-916 (1992)
6. Friedman, J., Hastie, T., Tibshirani, R.: Additive logistic regression: A statistical view of boosting. The Annals of Statistics 28(2), 337-374 (2000)
7. Grabner, H., Nguyen, T.T., Gruber, B., Bischof, H.: On-line boosting-based car detection from aerial images. ISPRS Journal of Photogrammetry and Remote Sensing 63(3), 382-396 (2008)
8. Huang, C., Wu, B., Nevatia, R.: Robust object tracking by hierarchical association of detection responses. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 788-801. Springer, Heidelberg (2008)
9. Kumar, R., Sawhney, H., Samarasekera, S., Hsu, S., Tao, H., Guo, Y., Hanna, K., Pope, A., Wildes, R., Hirvonen, D., Hansen, M., Burt, P.: Aerial video surveillance and exploitation. Proceedings of the IEEE 89(10), 1518-1539 (2001)
10. Leitloff, J., Hinz, S., Stilla, U.: Vehicle detection in very high resolution satellite images of city areas. IEEE Transactions on Geoscience and Remote Sensing 48(7), 2795-2806 (2010)
11. Medioni, G., Cohen, I., Bremond, F., Hongeng, S., Nevatia, R.: Event detection and analysis from video streams. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(8), 873-889 (2001)
12. Smal, I., Loog, M., Niessen, W., Meijering, E.: Quantitative comparison of spot detection methods in fluorescence microscopy. IEEE Transactions on Medical Imaging 29(2), 282-301 (2010)
13. Ohta, Y.I., Kanade, T., Sakai, T.: Color information for region segmentation. Computer Graphics and Image Processing 13(3), 222-241 (1980)
14. Oren, M., Papageorgiou, C., Sinha, P., Osuna, E., Poggio, T.: Pedestrian detection using wavelet templates. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 193-199 (1997)
15. Reilly, V., Idrees, H., Shah, M.: Detection and tracking of large number of targets in wide area surveillance. In: Daniilidis, K. (ed.) ECCV 2010, Part III. LNCS, vol. 6313, pp. 186-199. Springer, Heidelberg (2010a)
16. Reilly, V., Solmaz, B., Shah, M.: Geometric constraints for human detection in aerial imagery. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6316, pp. 252-265. Springer, Heidelberg (2010)
17. Smal, I., Loog, M., Niessen, W., Meijering, E.: Quantitative comparison of spot detection methods in fluorescence microscopy. IEEE Transactions on Medical Imaging 29(2), 282-301 (2010)
18. Sung, K.K., Poggio, T.: Example-based learning for view-based human face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(1), 39-51 (1998)
19. Thomas, U., Rosenbaum, D., Kurz, F., Suri, S., Reinartz, P.: A new software/hardware architecture for real time image processing of wide area airborne camera images. Journal of Real-Time Image Processing 4(3), 229-244 (2008)
20. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 511-518 (2001)
21. Wu, B., Nevatia, R.: Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors. International Journal of Computer Vision 75, 247-266 (2007)
22. Xiao, J., Yang, C., Han, F., Cheng, H.: Vehicle and person tracking in aerial videos. In: Stiefelhagen, R., Bowers, R., Fiscus, J.G. (eds.) RT 2007 and CLEAR 2007. LNCS, vol. 4625, pp. 203-214. Springer, Heidelberg (2008)
23. Yu, Q., Cohen, I., Medioni, G., Wu, B.: Boosted markov chain monte carlo data association for multiple target detection and tracking. In: International Conference on Pattern Recognition, vol. 2, pp. 675-678 (2006)