Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Weighted fuzzy pattern matching
Fuzzy Sets and Systems - Mathematical Modelling
Artificial Intelligence
Performance of optical flow techniques
International Journal of Computer Vision
Robust computation of optical flow in a multi-scale differential framework
International Journal of Computer Vision
Computation and analysis of image motion: a synopsis of current problems and methods
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Frame Estimation of Planar Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mosaicing on Adaptive Manifolds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
The statistics of optical flow
Computer Vision and Image Understanding
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Motion Tracking with an Active Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-parametric Local Transforms for Computing Visual Correspondence
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Constructing the Pignistic Probability Function in a Context of Uncertainty
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Motion estimation using ordinal measures
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Methods and Applications of Interval Analysis (SIAM Studies in Applied and Numerical Mathematics) (Siam Studies in Applied Mathematics, 2.)
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
A wavelet-based analysis of fractal image compression
IEEE Transactions on Image Processing
Dense estimation and object-based segmentation of the optical flow with robust techniques
IEEE Transactions on Image Processing
Fuzzy Sets and Systems
Video sequence motion tracking by fuzzification techniques
Applied Soft Computing
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This paper presents a new fuzzy framework for main motion estimation in video sequences. The estimation is performed using a fuzzy representation of pixel gray levels. The motion is characterized by a set of parameters such as horizontal translation, rotation, etc. The method is based on a Hough-like vote procedure. In this scheme, the parametric space is discretized and each pixel votes for each bin of this discrete space. The votes are accumulated in a ''quasi-continuous histogram'' (QCH). The use of possibility theory and imprecise probabilities provides an accurate estimation of the histogram's mode related to the main motion. The advantages of quasi-continuous histograms in terms of accuracy and robustness are discussed in this paper. Very promising results were obtained using real and simulated video sequences. Comparative studies with classical methods are also presented.