Title :
People Counting System for Getting In/Out of a Bus Based on Video Processing
Author :
Chao-Ho Chen ; Yin-Chan Chang ; Tsong-Yi Chen ; Da-Jinn Wang
Author_Institution :
Dept. of Electron. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung
Abstract :
This paper presents an automatic people counting system for getting in/out of a bus based on video processing. The basic scheme is to set a zenithal camera in the bus for capturing the passenger flow bi-directionally. The captured frame is firstly divided into many blocks and each block will be classified according to its motion vector. If the block quantity of similar motion vectors is more than a threshold, those blocks are regarded as belonging to the same moving object. As a result, the number of such moving objects is counted to be the passenger number of getting in or out of a bus. can be segmented for counting. Experimental results show that the proposed bus-passenger counting algorithm can provide a high count accuracy of 92% on average.
Keywords :
image motion analysis; video signal processing; automatic people counting system; block quantity; bus-passenger counting algorithm; motion vector; video processing; zenithal camera; Cameras; Chaos; Design engineering; Information management; Intelligent systems; Intelligent transportation systems; Lighting; Surveillance; Traffic control; Videoconference;
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.335
