基于运动与表象特征的广域船舶目标识别方法

目的]旨在提出对航行于关键广阔水域内的船舶进行准确识别和定位的改进方法。方法]运用视频监控的优点,综合采用基于背景差分算法的运动目标检测方法与基于深度学习算法的图像表象特征识别方法,结合目标的运动特征和图像表象特征,实现多维度广域船舶识别的功能,并对水纹降噪、多级运动检测、航道监控图像窗口分割检测等方法进行改进,进一步提高航行监控系统的船舶识别准确率。结果]现场航道监控验证结果表明,采用所提改进方法可以准确识别航道监控画面中任意类型和尺度的船舶,且使用常规摄像头即可实现半径3 km范围内的船舶识别、定位效果。结论]所提方法具有监控范围广、船舶类型全覆盖、自动目标识别、抗干扰能力强等优点。

Wide-area ship target recognition method based on motion and appearance features

Objective]The aim of this paper is to proposes methods for better recognizing and positioning ships sailing in critical and wide-area waterways during monitoring operation.Methods]Based on video surveillance technology,the joint use of the motion and appearance features of ship target is carried out to realize a wide-area multi-dimensional recognition function via the combination of background subtraction based moving object detection algorithm and deep learning based target recognition algorithm.In addition,the improved approaches including water ripple noise reduction,hierarchical moving object detection and window segmentation of waterway monitoring image are put forward to further improve recognition accuracy.Results]The field demonstration results show that the improved methods proposed in this paper allow the accurate recognition of a ship of any type or size on the monitoring screen,and the use of conventional cameras can also achieve the recognition and position of a ship navigating a water area within a radius of 3 km.Conclusions]The improved methods proposed in this study have a range of advantages including widearea monitoring,complete coverage of ship types and sizes,automatic target recognition and robust antiinterference ability.