Benchmark Data and Method for Real-Time People Counting in Cluttered Scenes Using Depth Sensors

Sun, S, Akhtar, N, Song, H, Zhang, C, Li, Jianxin and Mian, A 2019, Benchmark Data and Method for Real-Time People Counting in Cluttered Scenes Using Depth Sensors, IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 10, pp. 3599-3612, doi: 10.1109/TITS.2019.2911128.

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Title Benchmark Data and Method for Real-Time People Counting in Cluttered Scenes Using Depth Sensors
Author(s) Sun, S
Akhtar, N
Song, H
Zhang, C
Li, JianxinORCID iD for Li, Jianxin orcid.org/0000-0002-9059-330X
Mian, A
Journal name IEEE Transactions on Intelligent Transportation Systems
Volume number 20
Issue number 10
Start page 3599
End page 3612
Total pages 14
Publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication date 2019-10-01
ISSN 1524-9050
1558-0016
Keyword(s) Science & Technology
Technology
Engineering, Civil
Engineering, Electrical & Electronic
Transportation Science & Technology
Engineering
Transportation
People counting
intelligent transportation
computer vision
large-scale data
cluttered scenes
RGB-D videos
TRACKING
MODEL
RGB
People counting , intelligent transportation , computer vision , large-scale data , cluttered scenes , RGB-D videos.
Language eng
DOI 10.1109/TITS.2019.2911128
Indigenous content off
Field of Research 0801 Artificial Intelligence and Image Processing
0905 Civil Engineering
1507 Transportation and Freight Services
HERDC Research category C3.1 Non-refereed articles in a professional journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30116237

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Created: Thu, 20 Dec 2018, 18:42:08 EST

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