Benchmark Data and Method for Real-Time People Counting in Cluttered Scenes Using Depth Sensors
Version 2 2024-06-05, 02:22Version 2 2024-06-05, 02:22
Version 1 2018-12-20, 19:40Version 1 2018-12-20, 19:40
journal contribution
posted on 2024-06-05, 02:22 authored by S Sun, N Akhtar, H Song, C Zhang, Jianxin Li, A MianBenchmark Data and Method for Real-Time People Counting in Cluttered Scenes Using Depth Sensors
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Journal
IEEE Transactions on Intelligent Transportation SystemsVolume
20Pagination
3599-3612Publisher DOI
ISSN
1524-9050eISSN
1558-0016Language
EnglishNotes
archiveprefix: arXiv timestamp: Tue, 30 Oct 2018 08:12:40 +0100 biburl: https://dblp.org/rec/bib/journals/corr/abs-1804-04339 bibsource: dblp computer science bibliography, https://dblp.orgPublication classification
C3.1 Non-refereed articles in a professional journalIssue
10Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPublication URL
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Keywords
Science & TechnologyTechnologyEngineering, CivilEngineering, Electrical & ElectronicTransportation Science & TechnologyEngineeringTransportationPeople countingintelligent transportationcomputer visionlarge-scale datacluttered scenesRGB-D videosTRACKINGMODELRGBPeople counting , intelligent transportation , computer vision , large-scale data , cluttered scenes , RGB-D videos.3509 Transportation, logistics and supply chains4009 Electronics, sensors and digital hardware
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