A vision-based method to estimate passenger flow in bus

Author

Yu, Haibin ; He, Zhiwei ; Liu, Jilin

Author_Institution

Hangzhou Dianzi Univ., Hangzhou

fYear

2007

fDate

Nov. 28 2007-Dec. 1 2007

Firstpage

654

Lastpage

657

Abstract

In this paper, we describe a procedure using image processing for real-time estimation of passenger crowd flow in a complicated background in a bus. The contour feature of the head is exploited to locate every passenger´s position. In order to obtain the contour feature accurately, the modification of the Hough Transform and the fuzzy measure are applied. The procedure has been implemented in a DSP-based embedded system for field tests and the results show that the procedure mentioned here is effective.

Keywords

Hough transforms; edge detection; feature extraction; fuzzy set theory; road vehicles; traffic engineering computing; Hough Transform; bus; contour feature; fuzzy measure; image processing; passenger crowd flow estimation; vision-based method; Data mining; Educational institutions; Feature extraction; Image edge detection; Image motion analysis; Image processing; Magnetic heads; Optical filters; Road transportation; Support vector machines; Hough Transform; Passenger flow estimation; fuzzy measure; perceptual grouping;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-1447-5

Electronic_ISBN

978-1-4244-1447-5

Type

conf

DOI

10.1109/ISPACS.2007.4445972

Filename

4445972