A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Diffusions for global optimizations
SIAM Journal on Control and Optimization
Visual reconstruction
Hands: a pattern theoretic study of biological shapes
Hands: a pattern theoretic study of biological shapes
Surface Reconstruction Using Deformable Models with Interior and Boundary Constraints
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Feature extraction from faces using deformable templates
International Journal of Computer Vision
Model-based object tracking in monocular image sequences of road traffic scenes
International Journal of Computer Vision
A Bayesian Approach to Dynamic Contours Through Stochastic Sampling and Simulated Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour extraction of moving objects in complex outdoor scenes
International Journal of Computer Vision
A Deformable Template Approach to Detecting Straight Edges in Radar Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation and matching of moving vehicles from complex outdoor scenes
Segmentation and matching of moving vehicles from complex outdoor scenes
Multiple target direction of arrival tracking
IEEE Transactions on Signal Processing
Model-Based Localisation and Recognition of Road Vehicles
International Journal of Computer Vision
Robust Tracking of Position and Velocity With Kalman Snakes
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: Part II
Bidirectional Deformable Matching with Application to Handwritten Character Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skeleton-Based Shape Models with Pressure Forces: Application to Segmentation of Overlapping Leaves
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Vehicle Detection in Aerial Images Using Generic Features, Grouping, and Context
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
Machine Vision and Applications
Journal of VLSI Signal Processing Systems
Geodesic active regions and level set methods for motion estimation and tracking
Computer Vision and Image Understanding
An improved vehicle classification method based on Gabor features
Intelligent information processing II
A cascade of boosted generative and discriminative classifiers for vehicle detection
EURASIP Journal on Advances in Signal Processing
Multi-class Vehicle Type Recognition System
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
Explicit 3D Modeling for Vehicle Monitoring in Non-overlapping Cameras
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Geodesic active regions and level set methods for motion estimation and tracking
Computer Vision and Image Understanding
Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system
IEEE Transactions on Intelligent Transportation Systems
Correntropy based matched filtering for classification in sidescan sonar imagery
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Vehicle class recognition using multiple video cameras
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Multi-resolution image analysis for vehicle detection
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
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This paper proposes a segmentation algorithm using deformable template models to segment a vehicle of interest both from the stationary complex background and other moving vehicles in an image sequence. We define a polygonal template to characterize a general model of a vehicle and derive a prior probability density function to constrain the template to be deformed within a set of allowed shapes. We propose a likelihood probability density function which combines motion information and edge directionality to ensure that the deformable template is contained within the moving areas in the image and its boundary coincides with strong edges with the same orientation in the image. The segmentation problem is reduced to a minimization problem and solved by the Metropolis algorithm. The system was successfully tested on 405 image sequences containing multiple moving vehicles on a highway.