Citation: | YOU Ji'an, HU Zhaozheng, XIAO Hanbiao, MENG Jie. An Active Tracking Method for Small Ships in Open Water Based on Fixed/PTZ Camera System[J]. Journal of Transport Information and Safety, 2024, 42(3): 53-61. doi: 10.3963/j.jssn.1674-4861.2024.03.006 |
[1] |
WANG L, LIU Q, DONG S, et al. Effectiveness assessment of ship navigation safety countermeasures using fuzzy cognitive maps[J]. Safety Science, 2019, 117: 352-364. doi: 10.1016/j.ssci.2019.04.027
|
[2] |
赵婷, 王申涛, 牛林, 等. 合成孔径雷达图像舰船尾迹检测算法[J]. 上海交通大学学报, 2020, 54(12): 1259-1268.
ZHAO T, WANG S T, NIU L, et al. Detection algorithm of ship wake in SAR Images[J], Journal of Shanghai Jiao Tong University, 2020, 54(12): 1259-1268.
|
[3] |
QU J, LIU R W, GUO Y, et al. Improving maritime traffic surveillance in inland waterways using the robust fusion of AIS and visual data[J]. Ocean Engineering, 2023, 275: 114198. doi: 10.1016/j.oceaneng.2023.114198
|
[4] |
SANG L Z, WALL A, MAO Z, et al. A novel method for restoring the trajectory of the inland waterway ship by using AIS data[J]. Ocean Engineering. 2015, 110: 183-194. doi: 10.1016/j.oceaneng.2015.10.021
|
[5] |
HU Z Z, YOU J A, YUAN K, et al. Grid-based control of active cameras for waterway ship surveillance[C]. The 5th Inter-national Conference on Transportation Information and Safety(ICTIS). Liverpool, U. K. : IEEE, 2019.
|
[6] |
GUO Y, LIU R W, QU J, et al. Asynchronous trajectory matching-based multimodal maritime data fusion for vessel traffic surveillance in inland waterways[J]. IEEE Transactions on Intelligent Transportation Systems, 2023. 24 (11): 12779-12792. doi: 10.1109/TITS.2023.3285415
|
[7] |
CHEN Z, CHEN D, ZHANG Y, et al. Deep learning for auton-omous shiporiented small ship detection[J]. Safety Science, 2020, 130: 104812. doi: 10.1016/j.ssci.2020.104812
|
[8] |
LIN T Y, MAIRE M, BELONGIE S, et al. Microsoft COCO: common objects in context[C]. Uropean Conference on Computer Vision(ECCV), Zurich, Switzerland: IEEE, 2014.
|
[9] |
王鹏, 神和龙, 尹勇, 等. 基于深度学习的船舶驾驶员疲劳检测算法[J]. 交通信息与安全, 2022, 40(1): 63-71. doi: 10.3963/j.jssn.1674-4861.2022.01.008
WANG P, SHEN H L, YIN Y, et al. A detection algorithm for the fatigue of ship officers based on deep learning technique[J]. Journal of Transport Information and Safety, 2022, 40(1): 63-71. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2022.01.008
|
[10] |
YONG H, HUANG J, XIANG W, et al. Panoramic background image generation for PTZ cameras[J]. IEEE Transactions on Image Processing, 2019, 28(7): 3162-3176. doi: 10.1109/TIP.2019.2894940
|
[11] |
梁文锋, 项志宇. 鲁棒的PTZ摄像机目标跟踪算法[J]. 浙江大学学报(工学版), 2011, 45(1): 59-63.
LIANG W F, XIANG Z Y, et, al. Algorithm of robust object tracking using PTZ camera[J]. Journal of Zhejiang university (Engineering Science), 2011, 45(1): 59-63. (in Chinese)
|
[12] |
XUE K, LIU Y, OGUNMAKIN G, et al. Panoramic gaussian mixture model and large-scale range background substrac-tion method for PTZ camera-based surveillance systems[J]. Machine Vision and Applications. 2013, 24: 477-492. doi: 10.1007/s00138-012-0426-4
|
[13] |
LIU N, WU H F, LIN L. Hierarchical ensemble of background models for PTZ-based video surveillance[J]. IEEE Transactions on Cybernetics. 2014, 45: 89-102.
|
[14] |
LISANTI G, MASI I, PERNICI F, et al. Continuous localization and mapping of a pan-tilt-zoom camera for wide area tracking[J]. Machine Vision and Applications. 2016, 27: 1071-1085. doi: 10.1007/s00138-016-0799-x
|
[15] |
万定锐, 周杰. 双PTZ摄像机系统的标定[J]. 中国图象图形学报, 2008(4): 786-793.
WAN D R, ZHOU J. Calibration of dual-PTZ-camera system[J]. Journal of Image and Graphics, 2008(4): 786-793. (in Chinese)
|
[16] |
SERGIO B, LEOPOLDO L R, DANIEL S C, et al. Maritime surveillance by multiple data fusion: an application based on deep learning object detection, AIS data and geofencing[C]. The 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Lisbon, Portugal: Springer 2023.
|
[17] |
SHAKERI M, ZHANG H. Cooperative targeting: detection and tracking of small objects with a dual camera system[C]. Field and Service Robotics: Results of the 9th International Conference. Toronto, Canada: FSR, 2015.
|
[18] |
BARIS I, BASTANLAR Y L. Classification and tracking of traffic scene objects with hybrid camera systems[C]. International Conference on Intelligent Transportation Systems (ITSC). Yokohama, Japan: IEEE, 2017.
|
[19] |
石皓, 赖世铭, 刘煜, 等. 一种用于鱼眼PTZ主从监控系统的标定方法[J]. 系统仿真学报, 2013, 25(10): 2412-2417.
SHI H, LAI S M, LIU Y, et al. Calibration method based on master-slave surveillance system composed fish-eye camera and PTZ dome camera[J]. Journal of System Simulation. 2013, 25(10): 2412-2417. (in Chinese)
|
[20] |
FU J, DING Y, HUANG T, et al. Hand-eye calibration method based on three-dimensional visual measurement in robotic high-precision machining[J]. The International Journal of Advanced Manufacturing Technology, 2022, 119: 3845-3856.
|
[21] |
JOCHER G. YOLOv5[CP/OL]. (2022-02-09)[2023-6-25].
|
[22] |
WANG J, JIA Z, LAI H, et al. A real time target face tracking algorithm based on saliency detection and camshift[J]. Multimedia Tools and Applications, 2023, 82(28): 43599-43624.
|