DocumentCode
154984
Title
Research on passenger flow counting based on embedded system
Author
Bin Hu ; Gang Xiong ; Yiyue Li ; Zizhang Chen ; Weisi Zhou ; Xin Wang ; Qiang Wang
Author_Institution
Inst. of Autom., Qingdao Acad. of Intell. Ind., Qingdao, China
fYear
2014
fDate
8-11 Oct. 2014
Firstpage
3116
Lastpage
3119
Abstract
Passenger flow counting is an important issue for management and decision in many public areas such as shopping centers, airports, gyms and galleries. This paper presents some algorithms of Head-counting and Head-tracking for embedded systems in vertically-installed cameras. The system is able to count the number of passengers who enter or leave the detection area. The results are reliable, accurate and stable.
Keywords
Kalman filters; image processing; learning (artificial intelligence); target tracking; traffic engineering computing; Kalman filter; embedded system; head-counting; head-tracking; machine learning; passenger flow counting; vertically-installed cameras; Conferences; Intelligent transportation systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location
Qingdao
Type
conf
DOI
10.1109/ITSC.2014.6958191
Filename
6958191
Link To Document