Boundary Finding with Parametrically Deformable Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active vision
A framework for spatiotemporal control in the tracking of visual contours
International Journal of Computer Vision
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion
International Journal of Computer Vision
Motion Estimation in Image Sequences Using the Deformation of Apparent Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Tracking of Position and Velocity With Kalman Snakes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Mathematical Imaging and Vision
Object Tracking Using Deformable Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Adaptive-Focus Deformable Model Using Statistical and Geometric Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical Flow Constraints on Deformable Models with Applications to Face Tracking
International Journal of Computer Vision
Shape and Nonrigid Motion Estimation Through Physics-Based Synthesis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking Deformable Objects in the Plane Using an Active Contour Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Effective Tracking through Tree-Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active blobs: region-based, deformable appearance models
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Modeling and comparing change using spatiotemporal helixes
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Automatically and accurately conflating orthoimagery and street maps
Proceedings of the 12th annual ACM international workshop on Geographic information systems
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Change detection is an important issue for modern geospatial information systems. In this paper we address change detection of areal objects (i.e. objects with closed-curve outlines). We specifically focus on the detection of movement (translation and rotation) and/or deformation of such objects using aerial imagery. The innovative approach we present in this paper combines geometric analysis with our model of differential snakes to support change detection. Geometric analysis proceeds by comparing the first moments of the two outlines describing the same object in different instances, to estimate translation. Moment information allows us to determine the principal axes and eigenvectors of these outlines, and this we can determine object rotation as the angle between these principal axes. Next, we apply polygon-clipping techniques to calculate the intersection and difference of these two outlines. We use this result to estimate the radial deformation of the object (expansion and contraction). The results are further refined through the use of our differential snakes model, to distinguish true change from the effects of inaccuracy in object determination. The aggregation of these tools defines a powerful approach for change detection. In the paper we present the theoretical background behind these components, and experimental results that demonstrate the performance of our approach.