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首页> 外文会议>1st international conference on transportation information and safety 2011.;vol. 1. >Vessel Traffic Flow Detection and Tracking in River
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Vessel Traffic Flow Detection and Tracking in River

机译：河流中的交通流量检测与跟踪

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摘要

Vessel traffic flow detection is an important and challenging research field and has been broadly investigated in the past. Researchers have done an extensive work, and various devices have been developed to extract vessel traffic information, such as Vessel Traffic Service System (VTS), Automatic Identification System (AIS), and intelligent visual surveillance system. In this paper, a novel detection method is proposed based on Kalman filter to extract vessel traffic flow from optical imagery. The proposed algorithm includes two stages: moving vessel detection and dynamic vessel tracking. Vessel detection is a key step and the concept of tracking vessel is built upon the vessel-segmentation method. According to the segmented vessel shape, a three-step predict method is proposed based on Kalman filter to track each vessel. The proposed method has been tested on a number of monocular vessel traffic flow image sequences. The experimental results show that the algorithm is effective and robust.
机译：船只交通流量检测是一个重要而具有挑战性的研究领域，并且在过去已经进行了广泛的研究。研究人员已经进行了广泛的工作，并且已经开发出各种设备来提取船舶交通信息，例如船舶交通服务系统（VTS），自动识别系统（AIS）和智能视觉监视系统。本文提出了一种基于卡尔曼滤波的检测方法，可以从光学图像中提取出船只的交通流量。所提出的算法包括两个阶段：移动船只检测和动态船只跟踪。船只检测是关键步骤，跟踪船只的概念建立在船只分段方法的基础上。根据分割后的血管形状，提出了一种基于卡尔曼滤波的三步预测方法来跟踪各个血管。所提出的方法已经在许多单眼血管交通流图像序列上进行了测试。实验结果表明，该算法是有效且鲁棒的。

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