Abstract
The video sequence images about the ground targets of dynamic information are obtained from the high speed unmanned aerial vehicle, the camera movement has brought some difficulties to the target detection, object tracking. With the characteristics of displacement of the background in UAV video sequences images, the moving target detection and tracking technology is divided into three parts: motion estimation, target detection, object tracking. Because of the target smaller, lower resolution in the UAV video sequences image, so a region-based tracking algorithm is proposed. The computation of method, the speed of computational meets the needs of real-time tracking, experiment and achieved good results.
This article is supported by the Innovation fund of the dissertation of Master degree of Surveying and Mapping Institute.
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
Cohen, I., Medioni, G.: Detecting and tracking moving objects for video surveillance. In: Computer Vision and Pattern Recognition, pp. 2319–2325 (1999)
Meyerf, B.: Region-based tracking using a fine motion models in long image sequences. CVCIP. Image Understanding 60(2), 119–140 (1994)
Basele, B., Deriehe, R.: Region tracking through image sequences. In: Proceedings of IEEE International Conference of Computer Vision, pp. 302–307 (1995)
Tissainayagam, P., Suter, D.: Objeet tracking image sequences using point feature. Pattern Recognition 38(1), 105–113 (2005)
Niekels, K., Hutehinson, S.: Estimating uncertainty in SSD-based feature tracking. Image and Vision Computing 20(1), 47–58 (2002)
Peterfreund, N.: Robust tracking of position and velocity with kalman snakes. IEEE Trans. Pattern Anal. Mach. Intell. 21, 564–569 (1999)
Hardie, R.C., Barnard, K.J., Bognar, J.G., et al.: High-Resolution image reconstruction from a sequence of rotated and translated frames and its application to an infrared imaging system. Opt. Eng. 37, 247–260 (1998)
Zhang, P., Yu, X.: Elementary. Airborne video image motion detection and tracking techniques. Surveying and Mapping 24(6) (2007)
Jia, Y.: Machine Vision. Science Press, Beijing (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tan, X., Yu, X., Liu, J., Huang, W. (2011). Object Tracking Based on Unmanned Aerial Vehicle Video. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23214-5_57
Download citation
DOI: https://doi.org/10.1007/978-3-642-23214-5_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23213-8
Online ISBN: 978-3-642-23214-5
eBook Packages: Computer ScienceComputer Science (R0)