Title :
Effective bi-directional people flow counting for real time surveillance system
Author :
Yam, Kin-Yi ; Siu, Wan-chi ; Law, Ngai-Fong ; Chan, Chok-Ki
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Hong Kong, China
Abstract :
In this paper, an object based bi-directional counting system is proposed, which comprises of an advanced object detection and tracking algorithm to count the people flow in the monitoring scene. The result of which shows that the approach can provide about 90% accuracy for bi-directional people counting with an angle of 45° to the scene.
Keywords :
object detection; object tracking; real-time systems; video surveillance; bi-directional counting system; monitoring scene; object detection; people flow counting; real time surveillance system; tracking algorithm; Calibration; Cameras; Humans; Object detection; Surveillance; Three dimensional displays; Surveillance system; bidirectional counting; counting algorithm; scene calibration and object detection;
Conference_Titel :
Consumer Electronics (ICCE), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-8711-0
DOI :
10.1109/ICCE.2011.5722907
