Recursive 3-D Road and Relative Ego-State Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Three-dimensional motion computation and object segmentation in a long sequence of stereo frames
International Journal of Computer Vision
Visual tracking of known three-dimensional objects
International Journal of Computer Vision
Vehicle-Type Motion Estimation From Multi-Frame Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based Object Tracking in Traffic Scenes
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Geometric pattern matching: a performance study
SCG '99 Proceedings of the fifteenth annual symposium on Computational geometry
International Journal of Computer Vision
Reliable and Efficient Pattern Matching Using an Affine Invariant Metric
International Journal of Computer Vision
Segmentations of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Qualitative and Quantitative Car Tracking from a Range Image Sequence
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Detection of nuclear material at border crossings using motion correlation
Proceedings of the 38th conference on Winter simulation
Robot position estimation and tracking using the particle filter and SOM in robotic space
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Reliable moving vehicle detection based on the filtering of swinging tree leaves and raindrops
Journal of Visual Communication and Image Representation
Deriving kernels from generalized Dirichlet mixture models and applications
Information Processing and Management: an International Journal
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This paper describes an interactive model-based vision system for vehicle tracking. A human specifies a limited amount of information in the form of object models, which establish a context for autonomous interpretation of scenes containing moving vehicles. Results are presented from several image sequences shot with hand-held uncalibrated cameras.