학술논문

Intelligent traffic management through MPEG-7 vehicle flow surveillance
Document Type
Conference
Source
IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06) Modern Computing, 2006. JVA '06. IEEE John Vincent Atanasoff 2006 International Symposium on. :202-207 Oct, 2006
Subject
Computing and Processing
Intelligent vehicles
MPEG 7 Standard
Surveillance
Event detection
Image processing
Feature extraction
Intelligent transportation systems
Intelligent sensors
Change detection algorithms
Standardization
highway surveillance
traffic management
vehicle re-identification
license plate recognition
change
detection
event detection.
Language
Abstract
Recent development in the aspects of low-level image processing for feature extraction, as well as in the standardization of description schemes for video description, provide means for the development of Intelligent Transportation Systems. ITS may support a wide range of abilities, including vehicle identification and reidentification, event detection and optimum resource management. This paper analyzes the structure operation principles and the structure of an integrated highway management system. Its operation is based on the combination of sensor networks, low-level image processing algorithms and high-level description schemes. Low-level algorithms perform the tasks of license plate recognition for vehicle identification, as well as feature extraction through change detection, for event detection purposes. High level schemes are based on the recently developed MPEG-7 Description Schemes and are utilized as an information processing framework, which formulates identification and event representation procedures.