Applied multivariate statistical analysis
Applied multivariate statistical analysis
3-D Reconstruction Using Mirror Images Based on a Plane Symmetry Recovering Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Monitoring Activities from Multiple Video Streams: Establishing a Common Coordinate Frame
IEEE Transactions on Pattern Analysis and Machine Intelligence
Epipolar Geometry in Stereo, Motion, and Object Recognition: A Unified Approach
Epipolar Geometry in Stereo, Motion, and Object Recognition: A Unified Approach
Placing three-dimensional models in an uncalibrated single image of an architectural scene
VRST '02 Proceedings of the ACM symposium on Virtual reality software and technology
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
SIAM Journal on Optimization
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Genetic-Based EM Algorithm for Learning Gaussian Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparison of target detection algorithms using adaptive background models
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Geometrical scene analysis using co-motion statistics
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Advances in background updating and shadow removing for motion detection algorithms
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Mirror symmetry in perspective
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Detecting moving objects, ghosts, and shadows in video streams
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Foreground and Shadow Detection in Uncertain Frame Rate Surveillance Videos
IEEE Transactions on Image Processing
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Extraction of foreground is a basic task in surveillance video analysis. In most real cases, its performance is heavily based on the efficiency of shadow detection and on the analysis of lighting conditions and reflections caused by mirrors or other reflective surfaces. This correspondence is focused on the improvement of foreground extraction in the case of planar reflective surfaces. We showthat the geometric model of a scene with a planar reflective surface is reduced to the estimation of vanishing-point for the case of an auto-epipolar (skew-symmetric) fundamental matrix. The correspondences for the vanishing-point estimation are extracted from motion statistics. The knowledge of the position of the vanishing point allows us to integrate the geometric model and the motion statistics into image foreground-extraction to separate foreground from reflections, and thus to achieve better performance. The experiments confirm the accuracy of the vanishing point and the improvement of the foreground image mask by removing reflected object parts.