@inproceedings{49b8bab16dcb430ea3b18993982aa068,
title = "Vehicle detection using appearance and shape constrained active basis model",
abstract = "In this paper, we propose an Appearance and Shape Constrained Active Basis Model (ASC-ABM) to detect vehicles in image. ASC-ABM effectively incorporates the appearance and shape prior of vehicles in the active basis model. Therefore, compared with the original ABM, it can effectively remove the false positives caused by the clutter background and traffic lines. Experiment results demonstrate the effectiveness of the proposed method.",
keywords = "Active basis model, Appearance information, Shape constraint, Vehicle detection",
author = "Sai Liu and Mingtao Pei",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 22nd International Conference on Neural Information Processing, ICONIP 2015 ; Conference date: 09-11-2015 Through 12-11-2015",
year = "2015",
doi = "10.1007/978-3-319-26555-1\_48",
language = "English",
isbn = "9783319265544",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "427--434",
editor = "Tingwen Huang and Qingshan Liu and Lai, \{Weng Kin\} and Sabri Arik",
booktitle = "Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings",
address = "Germany",
}