Title :
Object detection and modeling algorithm for automatic visual people counting system
Author :
Jaijing, Kulrapat ; Kaewtrakulpong, Pakorn ; Siddhichai, Supakorn
Author_Institution :
Dept. of Instrum. & Control Syst. Eng., King Mongkut´´s Univ. of Technol. Thonburi, Bangkok
Abstract :
This paper presents object detection and modeling algorithm for automatic visual people counting system to identify individuals from top view images acquired from an overhead surveillance camera. This work proposes Snake algorithm with effective external energy function and a half-circle template initialization for modeling passengers. The experiment result showed that the proposed method could fit the Snake to the head and shoulder boundaries of the passengers effectively. Fitting error of 3.76 pixels per control point was obtained in our experiment. The information is not only useful for verifying humans but also for extracting appearance features to enhance performance of the subsequent tracking algorithm.
Keywords :
feature extraction; image sensors; object detection; Snake algorithm; appearance feature extraction; automatic visual people counting system; object detection algorithm; object modeling algorithm; overhead surveillance camera; subsequent tracking algorithm; Cameras; Computer errors; Counting circuits; Data mining; Feature extraction; Head; Humans; Image segmentation; Object detection; Surveillance;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
Conference_Location :
Pattaya, Chonburi
Print_ISBN :
978-1-4244-3387-2
Electronic_ISBN :
978-1-4244-3388-9
DOI :
10.1109/ECTICON.2009.5137228
