Abstract
The analysis of ground activities involving vehicles and humans is of interest in airborne surveillance applications. The high spatiotemporal resolution of a video camera makes it the sensor of choice for such applications. In the past, video sensors were not preferred, precisely because of the high volume of data generated, which had to be processed manually for the most part. Further, the moving platform gives rise to numerous false alarms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
C. Morimoto and R. Chellappa. Evaluation of image stabilization algorithms. In Proc. DARPA Image Understanding Workshop, pages 295–302, 1997.
S. Srinivasan and R. Chellappa. Image stabilization and mosaicking using the overlapped basis optical flow field. In Proc. IEEE International Conference on Image Processing, pages III: 356–xx, 1997.
P. Anandan, P.J. Burt, K. Dana, M. Hansen, and G. van der Wal. Real-time scene stabilization and mosaic construction. In Proc. ARPA Image Understanding Workshop, pages I: 457–465, 1994.
R. Chellappa, X. Zhang, P. Burlina, C. L. Lin, Q. Zheng, L. S. Davis, and A. Rosenfeld. An integrated system for site-model supported monitoring of transportation activities in aerial images. In DARPA Image Understanding Workshop, volume 1, pages 275–304, Palm Springs, CA, February 1996.
L. Wixson, J. Eledath, M. Hansen, R. Mandelbaum, and D. Mishra. Image alignment for precise camera fixation and aim. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 708–715, 1998.
R. Szeliski. Image mosaicing for tele-reality applications. In Workshop on Applications of Computer Vision, pages 44–53, 1994.
R. Cutler, C. Shekhar, B. Burns, R. Chellappa, R. Bolles, and L.S. Davis. Monitoring human and vehicle activities using airborne video. In 8th Applied Imagery Pattern Recognition Workshop (AIPR), Washington, D.C., October 1999.
R. Cutler and L.S. Davis. Robust real-time periodic motion detection, analysis, and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):781–796, August 2000.
R. Cutler and L.S. Davis. View-based detection and analysis of periodic motion. In DARPA Image Understanding Workshop, pages 237–242, Monterey, CA, 1998.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer Science+Business Media New York
About this chapter
Cite this chapter
Shekhar, C., Chellappa, R. (2003). Airborne Video Registration for Activity Monitoring. In: Shah, M., Kumar, R. (eds) Video Registration. The International Series in Video Computing, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0459-7_6
Download citation
DOI: https://doi.org/10.1007/978-1-4615-0459-7_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5087-3
Online ISBN: 978-1-4615-0459-7
eBook Packages: Springer Book Archive