@article{0d8313729c844ffab9ea3101d3c21a7f,
title = "Semi-automatic annotation samples for vehicle type classification in urban environments",
keywords = "closed circuit television, image classification, pattern clustering, road vehicles, support vector machines, traffic engineering computing, unsupervised learning, video cameras, semiautomatic annotation samples, vehicle type classification, urban environments, data collection, data annotation, classifier training, performance evaluation, roadside cctv video cameras, automatic image analysis, vehicle observation vector, unsupervised k-means clustering, iterative process, linear support vector machines classifier, annotated dataset, Computer science and informatics",
author = "Z. Chen and Ellis, \{T. J.\}",
year = "2015",
month = apr,
doi = "10.1049/iet-its.2013.0150",
language = "English",
volume = "9",
pages = "240--249",
journal = "IET Intelligent Transport Systems",
issn = "1751-956X",
publisher = "John Wiley \& Sons Inc.",
number = "3",
}