A Real-time Computer Vision System for Measuring Traffic Parameters
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
V3: A Vehicle-to-Vehicle Live Video Streaming Architecture
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
IVS 05: New Developments and Research Trends for Intelligent Vehicles
IEEE Intelligent Systems
Driving into the Future with ITS
IEEE Intelligent Systems
Road-traffic monitoring by knowledge-driven static and dynamic image analysis
Expert Systems with Applications: An International Journal
A cognitive surveillance system for detecting incorrect traffic behaviors
Expert Systems with Applications: An International Journal
Layered video resource allocation in mobile WiMAX using opportunistic multicasting
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Expert Systems with Applications: An International Journal
Traffic monitoring and accident detection at intersections
IEEE Transactions on Intelligent Transportation Systems
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IEEE Transactions on Intelligent Transportation Systems
A vision-based approach to collision prediction at traffic intersections
IEEE Transactions on Intelligent Transportation Systems
Detection and classification of highway lanes using vehicle motion trajectories
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Multimedia
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Visual tracking and recognition using appearance-adaptive models in particle filters
IEEE Transactions on Image Processing
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IEEE Transactions on Circuits and Systems for Video Technology
Object recognition and tracking for remote video surveillance
IEEE Transactions on Circuits and Systems for Video Technology
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To meet the safety requirement for the increasing traffic densities nowadays, there exists a growing demand for advanced systems that can provide drivers essential traffic and travel information to improve road safety and traffic efficiency. In this paper, we combine the video analysis and multimedia networking technologies to present a highly integrated intelligent system that can achieve the above goals. For traffic information, the system presented in this paper collects traffic parameters and detects relevant events by analyzing traffic surveillance videos. Through robust tracking algorithms and reasoning logics, important traffic parameters and events are extracted from the surveillance videos accurately. Afterwards, summarized real-time traffic conditions and important events along with corresponding live traffic videos are formed into layers and multicasted through an integration of WiMAX infrastructure and vehicular ad hoc networks (VANET). By the support of adaptive modulation and coding in WiMAX, the radio resources can be optimally allocated when performing multicast so as to dynamically adjust the number of data layers received by users. In addition to multicast supported by WiMAX, we also design a knowledge propagation and information relay scheme by VANET. Through this relaying technology, about 80% of the mobile stations that were unable to subscribe additional layers of data due to insufficient downlink bandwidth from WiMAX could regain more than 90% of the data in the additional layers within tolerable buffering time.