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City-scale vehicle tracking and traffic flow estimation usi..:
, In:
Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
,
Wei, Peter
;
Shi, Haocong
;
Yang, Jiaying
... - p. 602-610 , 2019
Link:
https://dl.acm.org/doi/10.1145/3341162.3349336
RT T1
Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
: T1
City-scale vehicle tracking and traffic flow estimation using low frame-rate traffic cameras
UL https://suche.suub.uni-bremen.de/peid=acm-3349336&Exemplar=1&LAN=DE A1 Wei, Peter A1 Shi, Haocong A1 Yang, Jiaying A1 Qian, Jingyi A1 Ji, Yinan A1 Jiang, Xiaofan PB ACM YR 2019 K1 computer vision K1 real-time systems K1 traffic flow K1 Software and its engineering K1 Software organization and properties K1 Software system structures K1 Real-time systems software K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Tracking SP 602 OP 610 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3341162.3349336 DO https://dl.acm.org/doi/10.1145/3341162.3349336 SF ELIB - SuUB Bremen
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