DocumentCode :
694425
Title :
Research of people counting based on face detection and area-tracking
Author :
Huajie Wu ; Limin Meng ; Jinxue Pan
Author_Institution :
Zhejiang Provincial Key Lab. Of Commun. & Networks, Zhejiang Univ. of Technol., Hangzhou, China
fYear :
2013
fDate :
12-13 Oct. 2013
Firstpage :
525
Lastpage :
528
Abstract :
This paper proposes a novel system for people counting based on face detection and tracking. Through the real time processing of video image gotten from monitor devices, the system detect the faces and combine with set people counting area to realize automatic people counting. In this system, firstly we set face tracking area and people counting area, then use AdaBoost and skin color character algorithm to detect faces and use camshift algorithm to track them, at last count people when the center point of tracking section passes the people counting area. Experiment result demonstrates this system has relatively high efficiency and accuracy.
Keywords :
face recognition; image colour analysis; learning (artificial intelligence); object detection; object tracking; video signal processing; AdaBoost; area-tracking; automatic people counting; camshift algorithm; face detection; face tracking area; monitor devices; people counting area; real time processing; skin color character algorithm; tracking section; video image; Accuracy; Face; Face detection; Image color analysis; Monitoring; Skin; Target tracking; AdaBoost algorithm; camshift algorithm; face area-tracking; face detection; skin detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
Type :
conf
DOI :
10.1109/ICCSNT.2013.6967168
Filename :
6967168
Link To Document :
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