Nonrigid Registration of 3D Scalar, Vector and Tensor Medical Data
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Affine Registration with Feature Space Mutual Information
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Lucas-Kanade 20 Years On: A Unifying Framework
International Journal of Computer Vision
Image alignment and stitching: a tutorial
Foundations and Trends® in Computer Graphics and Vision
Trajectory analysis in natural images using mixtures of vector fields
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Detection and tracking of large number of targets in wide area surveillance
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Information-Theoretic Data Registration for UAV-Based Sensing
IEEE Transactions on Intelligent Transportation Systems
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Velocity fields play an important role in surveillance since they describe typical motion behaviors of video objects (e.g., pedestrians) in the scene. This paper presents an algorithm for the alignment of velocity fields acquired by different cameras, at different time intervals, from different viewpoints. Velocity fields are aligned using a warping function which maps corresponding points and vectors in both fields. The warping parameters are estimated by minimizing a non-linear least squares energy. Experimental tests show that the proposed model is able to compensate significant misalignments, including translation, rotation and scaling.