A Multimedia Data Mining Framework: Mining Information from Traffic Video Sequences
Journal of Intelligent Information Systems
Database research at UT Arlington
ACM SIGMOD Record
Robust vehicle and traffic information extraction for highway surveillance
EURASIP Journal on Applied Signal Processing
Image-based height measuring system
ISCGAV'07 Proceedings of the 7th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Knowledge-Based Road Traffic Monitoring
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Statistical methods to estimate vehicle count using traffic cameras
Multidimensional Systems and Signal Processing
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Consistent Interpretation of Image Sequences to Improve Object Models on the Fly
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Real-time vision-based multiple vehicle detection and tracking for nighttime traffic surveillance
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Moving vehicle tracking for the web camera
ICWE'03 Proceedings of the 2003 international conference on Web engineering
Real time video data mining for surveillance video streams
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
A channel awareness vehicle detector
IEEE Transactions on Intelligent Transportation Systems
Road traffic model using distributed camera network
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Moving cast shadow detection and removal for visual traffic surveillance
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Recognition of complex human behaviors in pool environment using foreground silhouette
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Approximate vehicle waiting time estimation using adaptive video-based vehicle tracking
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Road Traffic Parameters Estimation by Dynamic Scene Analysis: A Systematic Review
International Journal of Grid and High Performance Computing
Journal of Signal Processing Systems
International Journal of Computer Vision
Using adaptive background subtraction into a multi-level model for traffic surveillance
Integrated Computer-Aided Engineering
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The paper presents an approach for detecting vehicles in urban traffic scenes by means of rule-based reasoning on visual data. The strength of the approach is its formal separation between the low-level image processing modules and the high-level module, which provides a general-purpose knowledge-based framework for tracking vehicles in the scene. The image-processing modules extract visual data from the scene by spatio-temporal analysis during daytime, and by morphological analysis of headlights at night. The high-level module is designed as a forward chaining production rule system, working on symbolic data, i.e., vehicles and their attributes (area, pattern, direction, and others) and exploiting a set of heuristic rules tuned to urban traffic conditions. The synergy between the artificial intelligence techniques of the high-level and the low-level image analysis techniques provides the system with flexibility and robustness