TY  - JOUR
AU  - Zhengyu, Xie
AU  - Limin, Jia
AU  - Li, Wang
PY  - 2015/02/09
Y2  - 2025/01/02
TI  - Passenger Flow Detection of Video Surveillance: A Case Study of High-Speed Railway Transport Hub in China
JF  - Elektronika ir Elektrotechnika
JA  - ELEKTRON ELEKTROTECH
VL  - 21
IS  - 1
SE  - 
DO  - 10.5755/j01.eee.21.1.9805
UR  - https://eejournal.ktu.lt/index.php/elt/article/view/9805
SP  - 48-53
AB  - <p>Detect moving object from a video sequence is a fundamental and critical task in many computer vision applications. With video surveillance system of high-speed railway transport hub, one of the aims for passenger flow detection is to accurately and promptly detect potential safety hazard hidden in passenger flow. In this paper, a procedure of passenger flow detection in high-speed railway transport hub is presented. According to the key steps of procedure, a modified background model based on Dempster-Shafer theory, and a passenger flow status recognition algorithm based on features of image connected domain are proposed to improve the accuracy and real-time performance of passenger flow detection. Credit and effects of proposed methods were proved by experiment on data from high-speed railway transport hub video surveillance system.</p><p>DOI: <a href="http://dx.doi.org/10.5755/j01.eee.21.1.9805">http://dx.doi.org/10.5755/j01.eee.21.1.9805</a></p>
ER  -