摘要
通过把红外成像设备安装在内河船舶上,基于红外视频对前方运动船舶目标进行检测和跟踪,实现内河船舶防撞,为船舶安全航行服务。本文给出了一种复杂内河背景下对红外运动船舶目标检测和跟踪的方法。首先,通过天水线的检测确定感兴趣区域(ROI);然后,通过计算ROI的多尺度分形特征(MFFK),进行内河船舶目标检测;最后,利用改进的Mean-Shift算法实现内河运动船舶目标跟踪。实验结果表明,该方法具有鲁棒性,满足实时性和可靠性的要求。
The Forward-looking Infrared （FLIR） camera is installed in the front of ship. In the FLIR surveillance video sequence used for moving ship detection, it can be achieved to avoid ship-ship collision so that the safety sailing is ensured. Ship detection and tracking algorithm in FLIR images from complicated background along the inland waterway is proposed. Firstly, a method is proposed to extract the sky-water line, and the Region of Interest （ROI） is extracted based on the sky-water line. Then, multi-scale fractal feature related with K （MFFK） is presented to detect ship. Finally, an improved mean shift algorithm for moving ship is proposed to track ship in inland waterway. Experimental results have shown that the approach is robust and achieves real-time and reliable ship detection and tracking.
出处
《光电工程》
CAS
CSCD
北大核心
2010年第9期8-13,共6页
Opto-Electronic Engineering
关键词
内河船舶
红外图像
目标检测
目标跟踪
inland waterway ship
infrared image
object detection
object tracking
