Automatic Head Detection for Passenger Flow Analysis in Bus Surveillance Videos Conference Paper

abstract

• The passenger flow analysis in bus surveillance videos is of great importance. This paper addressed the detection of passenger heads in the image sequences captured by a monocular camera mounted on the bus ceiling. We exploited the combination features of consistent hair colour and solidity filling in head circles to tackle the main difficulties of cluttered background, lightning effects and non-rigid body movements in the videos. The experimental results demonstrate that our method is promising. 2012 IEEE.

name of conference

• 2012 5th International Congress on Image and Signal Processing

authors

• Mete, Mutlu

published proceedings

• 2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP)

author list (cited authors)

• Chen, J., Wen, Q., Zhuo, C., & Mete, M.

citation count

• 4

complete list of authors

• Chen, Juan||Wen, Quan||Zhuo, Chenglong||Mete, Mutlu

publication date

• October 2012

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Canny Edge Detection
• Head Detection
• Hough Transform
• Passenger Flow Analysis
• Video Surveillance

Digital Object Identifier (DOI)

• 10.1109/cisp.2012.6469669

International Standard Book Number (ISBN) 13

• 978-1-4673-0965-3

start page

• 143

end page

• 147

URL

• http://dx.doi.org/10.1109/cisp.2012.6469669