From image sequences towards conceptual descriptions
Image and Vision Computing
Model-Based Localisation and Recognition of Road Vehicles
International Journal of Computer Vision
International Journal of Computer Vision
Special Section on Video Surveillance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking with the EM Contour Algorithm
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Steps toward a cognitive vision system
AI Magazine
On-Road Vehicle Detection: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Framework for Model-Based Tracking Experiments in Image Sequences
International Journal of Computer Vision
Contour tracking based on marginalized likelihood ratios
Image and Vision Computing
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Physical models for moving shadow and object detection in video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Incremental unsupervised three-dimensional vehicle model learning from video
IEEE Transactions on Intelligent Transportation Systems
Feature-based tracking approach for detection of moving vehicle in traffic videos
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
An adaptive gradient enhanced texture based tracking algorithm for video monitoring applications
Transactions on edutainment VI
Tracking video objects with feature points based particle filtering
Multimedia Tools and Applications
Shape Features of Overlapping Boundary for Classification of Moving Vehicles
International Journal of Computer Vision and Image Processing
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A fully automatic initialization approach for 3D-model-based vehicle tracking has been developed, based on Edge-Element and Optical-Flow association. An entire automatic initialization and tracking system incorporating this approach achieves results comparable to those obtained by earlier experiments based on semi-interactive initialization, provided the assessment criteria are roughly equivalent. Experiences with a large testing sample--about 15 minutes of inner-city traffic videos--are discussed in detail.