Application of Infrared Binocular Vision for Monitoring Moving Target in Port

Article Preview

Abstract:

In recent years, the port occurred on many the theft cases that boats moored ships to implement embarkation at night, which seriously affected the economic benefits and the safety of the persons on the ship. In order to all-weather real-time monitor the condition around the ship, and to find the abnormal behavior of moving targets in time, the use of infrared video sensor is proposed for mooring the condition around the ship, and intelligent analysis for infrared video. First of all, through the semi-threshold method, Canny operator and connected component labeling for target detection, and to draw the target's movement track through the centroid coordinates, and then analyses the layout scheme of infrared video sensors, finally, determine whether the moving target near to the ship based on non-calibration binocular distance measurement, such as against by suspicion, alarm immediately. The experimental results show that this method is simple and effective, it can well realize to monitor the moving target in port, and to early warning at night.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

155-161

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhaolin Wu, Yuelin Zhao:Ship Collision Avoidance and Watchkeeping (Third edition) (Dalian maritime university Publications, Dalian 2008). (In Chinese).

Google Scholar

[2] Zouaoui, S., V. Roy, and N. Maizi: in Oceans 2012 (2012), pp.1-9.

Google Scholar

[3] Bin Xu, Lian Zheng, Yongxue Wang et al: Infrared and Laser Engineering Vol. 33(2004), pp.482-487. (In Chinese).

Google Scholar

[4] Shaosheng Dai, Feng Wang: Semiconductor Optoelectronics Vol. 32 (2011), pp.573-579. (In Chinese).

Google Scholar

[5] Zhihui, W., J. Zhigang, and X. Huizhong: ICTM '09. International Conference on (2009), pp.200-203.

Google Scholar

[6] Lei Liu, Yingjun Zhang, Zongjiang Gao et al: Energy Education Science and Technology Part A: Energy Science and Research Vol. 31(2013), pp.155-158.

Google Scholar

[7] Shijian Liu, Yingyue Wu: Infrared Technology Vol. 34 (2012), pp.636-639. (In Chinese).

Google Scholar

[8] Dongqing Zhang, You Luo, Yanling Sun et al: Life Science Instruments Vol. 10(2012), pp.47-51. (In Chinese).

Google Scholar

[9] Wulei Tang, Linling Zhang, Shaohong Wu et al, China Patent 102622767A. (2012) (In Chinese).

Google Scholar