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This paper addresses detection, tracking and recognition of traffic signs in video. Previous research has shown that very good detection recalls can be obtained by state-of-the-art detection algorithms. Unfortunately, satisfactory precision and localization accuracy are more difficultly achieved. We follow the intuitive notion that it should be easier to(More)
We consider geoinformation inventory systems containing locations and types of traffic signs and road surface markings in a given geographical region. Such systems allow a human operator to assess the current state of the traffic infrastructure by comparing a recent georeferenced video with the prescribed state stored in the inventory. We are concerned with(More)
Geoinformation inventories are often employed as a tool for providing a comprehensive view onto the required state of traffic control infrastructure. They are especially important in road safety inspection where, in combination with georeferenced video, they enable repeatable off-line and off-site assessments as an attractive aternative to classic onsite(More)
This expert paper describes the characteristics of six most used free software tools for general data mining that are available today: RapidMiner, R, Weka, KNIME, Orange, and scikit-learn. The goal is to provide the interested researcher with all the important pros and cons regarding the use of a particular tool. A comparison of the implemented algorithms(More)
Modern fleet management systems typically monitor the status of hundreds of vehicles by relying on GPS and other simple sensors. Such systems experience significant problems in cases of GPS glitches as well as in areas without GPS coverage. Additionally, when the tracked vehicle is stationary, they cannot discriminate between traffic jams, service stations,(More)
This work deals with multi-label classification of traffic scene images. We introduce a novel labeling scheme for the traffic scene dataset FM2. Each image in the dataset is assigned up to five labels: settlement, road, tunnel, traffic and overpass. We propose representing the images with (i) bag-of-words and (ii) GIST descriptors. The bag-of-words model(More)
We study the problem of traffic sign detection in the context of traffic infrastructure inventory. The data acquired during filming the roads in Croatia is presented. Based on recent approaches, and motivated by constraints present in our data, we employ the Viola-Jones object detector for triangular warning signs detection. The detector achieves correct(More)
This paper reviews the popular traffic sign detection methods prevalent in recent literature. The methods are divided into three categories: color-based, shape-based, and learningbased. Color-based detection methods from eleven different works are studied and summarized in a table for easy reference. Three shape-based detection methods are presented, and a(More)
This paper describes medical support to a Croatian Army brigade of 2,100 soldiers in an attack combined with river crossing during the 1991/1992 war in Croatia. Three crossings across the river, 4,000 to 5,000 m apart, were used along a front of a total width of 14 km. The anticipated depth of the attack was about 4 km. It was estimated that the enemy had(More)
This paper investigates classification of traffic scenes in a very low bandwidth scenario, where an image should be coded by a small number of features. We introduce a novel dataset, called the FM1 dataset, consisting of 5615 images of eight different traffic scenes: open highway, open road, settlement, tunnel, tunnel exit, toll booth, heavy traffic and the(More)