For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
A Highway Surveillance System Using an HMM-Based Segmentation Method
Jien KATO Toyohide WATANABE Hiroyuki HASE
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2002/11/01
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Information System Technologies for ITS)
traffic surveillance, car tracking, hidden Markov model, car speed estimation,
Full Text: PDF(665.6KB)>>
Automatic traffic surveillance based on visual tracking techniques has been desired for many years. This paper proposes a basic highway surveillance system using an HMM-based segmentation method. The presented system meets the essential requirement of ITS: real-time running. Its another advantage is robustness to the shadows of moving objects, which have been recognized as one of main obstacles to robust car tracking. At present, using the system we can estimate velocity of vehicles with high accuracy. For acquiring metric information in the real world, the system does not require a precise calibration but only needs four point correspondences between the image plane and ground plane.