Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Segmentation by Data-Driven Markov Chain Monte Carlo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift Is a Bound Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
A note on the convergence of the mean shift
Pattern Recognition
Gaussian Mean-Shift Is an EM Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge Detection Based on Fast Adaptive Mean Shift Algorithm
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 02
Adaptive algorithms and networks for optimal feature extraction from Gaussian data
Pattern Recognition Letters
Bayesian image segmentation with mean shift
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Robust fusion of uncertain information
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The estimation of the gradient of a density function, with applications in pattern recognition
IEEE Transactions on Information Theory
Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters
IEEE Transactions on Circuits and Systems for Video Technology
| Hi-index | 0.10 |
The mean shift algorithm is a non-parametric and iterative technique that has been used for finding modes of an estimated probability density function. It has been successfully employed in many applications in specific areas of machine vision, pattern recognition, and image processing. Although the mean shift algorithm has been used in many applications, a rigorous proof of its convergence is still missing in the literature. In this paper we address the convergence of the mean shift algorithm in the one-dimensional space and prove that the sequence generated by the mean shift algorithm is a monotone and convergent sequence.