Abstract
This work addresses the problem of video surveillance of outdoor environments with unmanned aerial vehicles (UAV). Specifically it proposes a two-step approach, with an initial offline stage in which a mosaic of the zone to be monitored is built from video sequences. The second step tackles with the problem of online detection of relevant differences between the acquired images and the mosaic model. A GPS-assisted approach is proposed to deal with efficiency issues in this online step. Experimental results prove that the proposed approach can be used to detect relevant changes in the specific case of road safety assurance in dangerous zones.
Chapter PDF
Similar content being viewed by others
References
Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: SURF: Speeded Up Robust Features. Computer Vision and Image Understanding 110(3), 346–359 (2008)
Brown, M., Lowe, D.: Automatic Panoramic Image Stitching using Invariant Features. International Journal of Computer Vision 74(1), 59–73 (2007)
Fan, B., Du, Y., Zhu, L., Tang, Y.: The registration of UAV down-looking aerial images to satellite images with image entropy and edges. In: 3rd International Conference on Robotics and Applications, Shanghai, China (2010)
Foresti, G.L., Micheloni, C., Snidaro, L., Remagnino, P., Ellis, T.: Active Video-based Surveillance Systems: the low-level image and video processing techniques needed for implementation. IEEE Signal Processing Magazine 22(2), 25–37 (2005)
Gaszczak, A., Breckon, T.P., Han, J.W.: Real-time People and Vehicle Detection from UAV Imagery. In: Proc. SPIE Conference Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, vol. 7878, No. 78780B (2011)
Huber, P.J.: Robust statistics. John Wiley & Sons, Inc. (2005)
Jackson, B., Goshtasby, A.: Registering video images using the projective constraint. IEEE Trans. Image Processing 19(3), 795–804 (2010)
Li, C., Zhang, G., Lei, T., Gong, A.: Quick image-processing method of UAV without control points data in earthquake disaster area. Transactions of Nonferrous Metals Society of China 21(3), 523–228 (2011)
Lin, Y., Medioni, G.: Map-Enhanced UAV Image Sequence Registration and Synchronization of Multiple Image Sequences. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (2007)
Cohen, I., Medioni, G.: Detecting and tracking moving objects for video surveillance. In: IEEE Proc. Computer Vision and Pattern Recognition, Fort Collins, CO, USA (1999)
Nikolos, I.K., Tsourveloudis, N.C., Valavanis, K.P.: A UAV vision system for airborne surveillance. In: Proceedings of the IEEE International Conference on Robotics and Automation, New Orleans, LA, USA, pp. 77–83 (2004)
Nikolos, I.K., Tsourveloudis, N.C., Valavanis, K.P.: Multi-UAV experiments: Application to forest in Multiple Heterogeneous Unmanned Aerial Vehicles. Springer Tracts in Advanced Robotics, pp. 207–228. Springer, Berlin (2007)
Wzorek, M., Doherty, P.: The WITAS UAV Ground System Interface with Focus on Motion and Task Planning. In: System Demonstration Abstracts of the 16th International Conference on Automated Planning and Scheduling (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Piciarelli, C., Micheloni, C., Martinel, N., Vernier, M., Foresti, G.L. (2013). Outdoor Environment Monitoring with Unmanned Aerial Vehicles. In: Petrosino, A. (eds) Image Analysis and Processing – ICIAP 2013. ICIAP 2013. Lecture Notes in Computer Science, vol 8157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41184-7_29
Download citation
DOI: https://doi.org/10.1007/978-3-642-41184-7_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41183-0
Online ISBN: 978-3-642-41184-7
eBook Packages: Computer ScienceComputer Science (R0)