A Multiple Vehicle Tracking and Counting Method and its Realization on an Embedded System with a Surveillance Camera

dc.citation.woscount	0	en_US
dc.contributor.author	Hsu, Yi-Hsuan	en_US
dc.contributor.author	Chang, Ssu-Yuan	en_US
dc.contributor.author	Guo, Jiun-In	en_US
dc.contributor.department	電子工程學系及電子研究所	zh_TW
dc.contributor.department	Department of Electronics Engineering and Institute of Electronics	en_US
dc.date.accessioned	2019-04-02T06:04:48Z
dc.date.available	2019-04-02T06:04:48Z
dc.date.issued	2018-01-01	en_US
dc.description.abstract	This paper proposes a tracking-by-detection method with a weighted scoring mechanism to associate the trackers and the detection results for accurate tracking and counting vehicles in a surveillance application. For the vehicle detection, the proposed method uses our robust PVA-lite deep learning model to detect vehicles. The experimental results show that the proposed method can achieve more than 95% in the average counting accuracy.	en_US
dc.identifier.issn	2381-5779	en_US
dc.identifier.journal	2018 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW)	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/150941
dc.identifier.wosnumber	WOS:000454897600194	en_US
dc.language.iso	en_US	en_US
dc.title	A Multiple Vehicle Tracking and Counting Method and its Realization on an Embedded System with a Surveillance Camera	en_US
dc.type	Proceedings Paper	en_US

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