Abstract
Abstract This article presents an analysis of the possibilities of using the pre-degraded GoogLeNet artificial neural network to classify inland vessels. Inland water authorities monitor the intensity of the vessels via CCTV. Such classification seems to be an improvement in their statutory tasks. The automatic classification of the inland vessels from video recording is a one of the main objectives of the Automatic Ship Recognition and Identification (SHREC) project. The image repository for the training purposes consists about 6,000 images of different categories of the vessels. Some images were gathered from internet websites, and some were collected by the project’s video cameras. The GoogLeNet network was trained and tested using 11 variants. These variants assumed modifications of image sets representing (e.g., change in the number of classes, change of class types, initial reconstruction of images, removal of images of insufficient quality). The final result of the classification quality was 83.6%. The newly obtained neural network can be an extension and a component of a comprehensive geoinformatics system for vessel recognition.
Highlights
In terms of vessel traffic, there are several techniques and methods for monitoring water areas
We focused on verifying the potential to use a readymade tool – pretrained GoogLeNet deep convolutional neural network (GoogLeNet convolutional neural networks (CNNs)) – for vessel recognition
For each variant of the dataset, the GoogLeNet network was trained from the beginning and the classification was carried out
Summary
In terms of vessel traffic, there are several techniques and methods for monitoring water areas. The most popular are AIS (Automatic Identification System) and radar These two systems are often supported by radio communication and video surveillance (CCTV). All these components make up the RIS (River Information Service) or VTS (Vessel Traffic System) system, where the operator can identify the vessel and acquire all information about its voyage, crew members, shipowner or cargo. There is a huge problem in the field of small inland boats, such as motor or rowing boats, small sailing yachts and pleasure crafts. They are not equipped with AIS, radar or VHF systems. Given the growing interest in pleasure water tourism, there is a need to support the monitoring through a recognition and identifying system dedicated to small boats and their approximate location
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