@incollection{Van_Huy_Pham_70119992,
	title = {A two-stage detection approach for car counting in day and nighttime},
	volume = {672},
	isbn = {978-981-10-7511-7},
	url = {http://doi.org/10.1007/978-981-10-7512-4%5C_16},
	abstract = {We developed a car counting system using car detection methods for both daytime and nighttime traffic scenes. The detection methods comprise two stages: car hypothesis generation and hypothesis verification. For daytime traffic scenes, we proposed a new car hypothesis generation by rapidly locating car windshield regions, which are used to estimate car positions in occlusion situations. For car hypothesis at nighttime, we proposed an approach using k-means clustering-based segmentation to find headlight candidates to facilitate the later pairing process. Counting decision is made from Kalman filter-based tracking, followed by rule-based verification. The results evaluated on real-world traffic videos show that our system can work well in different conditions of lighting and occlusion.},
	booktitle = {Advances in {Intelligent} {Systems} and {Computing}},
	author = {Pham, Van Huy and Le, Duc Hau},
	year = {2018},
	doi = {10.1007/978-981-10-7512-4_16},
	note = {ISSN: 21945357},
	pages = {159--171},
}

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