Abstract
A simulative tank shooting method based on image analysis is presented, it is an alternative to the existing laser system. The system is composed of an image acquisition system and an infrared strobe light system. Based on the strobe light, the ID of the target tank can be computed. Analyzing the characteristics of the target image, the position of strobe light is determined through image normalization, image segmentation and tracing boundary contours algorithms in turn; then the target ID is identified. Experimental results show that the proposed method can recognize the ID and hit location of the target tank accurately.
This is a preview of subscription content, log in via an institution to check access.
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
Mao, D., Lin, L.: The wireless laser analog design training system. Dalian University of Technology (2006)
Rong, M., Wang, C., Wang, Q., et al.: Tank embedded design training system simulation technology. Armored Force Engineering University 22(6), 11–14 (2008)
Arnold, J., Shaw, S.: Efficient Target Tracking Using Dynamic Programming. IEEE Transactions on Aerospace and Electronics Systems 29(1), 44–55 (1993)
Li, Z., Ren, M.: The tank unit training shots hit decision method based on image analysis. Nanjing University of Science and Technology (2012)
Shao, X., Ren, M., Chen, L.: The tank unit training simulation shots hit decision method based on image analysis, China, 200910264156[P/OL] (July 06, 2011)
Zhang, H., Ren, M.: Tank unit tactical training system based on image understanding. Nanjing University of Science and Technology (2012)
Yang, L.: Infrared small target detection and tracking algorithm under the condition of complex background. Shanghai Jiaotong University (2006)
Sun, G.: Image segmentation research based on fuzzy threshold. Hefei University of Technology (2005)
Wang, X.: Remote sensing image de-noising method based on the signal-to-noise characteristics. Xi’an University of Electronic Science and Technology (2011)
Sun, D., Zhou, W.: Preprocessing algorithm of small moving target detection in infrared image sequence. Infrared and Laser Engineering 29(2), 12–14 (2000)
Ren, M., Yang, J., Sun, H.: Tracing Boundary Contours in a Binary Image. Image and Vision Computing 20(2), 125–131 (2002)
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
Qi-ai, W., Ming-wu, R. (2013). A Tank Shooting Method Simulation Based on Image Analysis. In: Tan, T., Ruan, Q., Chen, X., Ma, H., Wang, L. (eds) Advances in Image and Graphics Technologies. IGTA 2013. Communications in Computer and Information Science, vol 363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37149-3_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-37149-3_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37148-6
Online ISBN: 978-3-642-37149-3
eBook Packages: Computer ScienceComputer Science (R0)