Design of Intelligent Aim System of Tear Bomb Emitter Based on Binocular Stereo Vision

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The intelligent Aim system of the Tear Bomb Emitter based on binocular stereo vision has been designed for the armored car equipped in our Armed Police Force. In this paper, according to the intrinsical feature of the background, the binocular stereo vision is chose to detect the forward distance between the bomb emitter and the crowd which the emitter needs to aim at. A new way which is based on integrating temporal information with spatial information has been presented. Then the forward distance was obtained according to the camera calibration, image processing, and error model. The error and measuring experiment shows that the percentage error is less than 2% and this method is feasible and effective.

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3505-3510

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October 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Su Wei, System Integration Methods of Fire Fighting and Safety Protection Subsystem , 2009 ISECS International Colloquium on CCCM 2009. IEEE, 2009, Vol(1), pp.24-27.

DOI: 10.1109/cccm.2009.5268159

Google Scholar

[2] RenJiangQiang, Algorithmfor 3D Reconstruction of Agriculture Field Pests Based on Binocular StereoVision, The Third IFIP Interational Conference on CCTA, 2009, p.101.

Google Scholar

[3] Handong Zhang, Summary of Distance Measurement Based on Vision in Localization Technology, IPEMC 2006. IEEE, p.1992-(1995).

Google Scholar

[4] R.Y. Tsai, A versatile camera calibration technique for high-accuracy 3-D machine vision metrology using off-theshelf TV camera and lenses, Journal of Robotics and Automation, 1987, 3(4), pp.323-344.

DOI: 10.1109/jra.1987.1087109

Google Scholar

[5] M. Pollefeys, and L.V. Gool, Stratified Self-calibration with the Modulus Constraint, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999, 21(8), pp.707-724.

DOI: 10.1109/34.784285

Google Scholar

[6] Zhou Fuliang, The Ranging System of Highway Based on Binocular Stereo Vision, A Thesis for degree of master of engineering in Zhejiang University, 2003, 2.

Google Scholar