Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
A Real-time Vision-based Vehicle Tracking and Traffic Surveillance
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01
Intelligent Vehicle Counting Method Based on Blob Analysis in Traffic Surveillance
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Toward accurate dynamic time warping in linear time and space
Intelligent Data Analysis
Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles
IEEE Transactions on Pattern Analysis and Machine Intelligence
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
Detection and classification of vehicles
IEEE Transactions on Intelligent Transportation Systems
Automatic traffic surveillance system for vehicle tracking and classification
IEEE Transactions on Intelligent Transportation Systems
Audio-Visual Event Recognition in Surveillance Video Sequences
IEEE Transactions on Multimedia
Event detection in field sports video using audio-visual features and a support vector Machine
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Neural Networks
Dynamic background modeling for a safe road design
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Resolving the ambiguity of real-time multiple object tracking using static cameras
International Journal of Intelligent Systems Technologies and Applications
Event-driven video adaptation: A powerful tool for industrial video supervision
Multimedia Tools and Applications
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Efficient detection and tracking of moving objects in real life conditions is a very challenging research issue, mainly due to occlusions, illumination variations, appearance (disappearance) of new (existing) objects and overlapping issues. In this paper, we address these difficulties by incorporating non-linear and recursive identification mechanisms in motion-based detection and tracking algorithms. Non-linearity allows correct identification of object of complex visual properties while the adaptability makes the proposed scheme able to update its behaviour to the dynamic environmental changes. In addition, in this paper, we introduce the concept of polar spectrum which is a measure for determining the deviation of a vehicle trajectory from an ideal trace. The proposed methods (object tracking and trajectory matching) are applied in survey engineering problems dealing with safe design road turns. In particular, the automatically detected trajectory of a moving vehicle is compared with the ideal trace, through the polar spectrum measure, to determine the safety of a road turn. This trace is also compared with the one manually derived using photogrammetric algorithms and a small error is obtained verifying the efficiency of the method.