Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vessel Detection by Mean Shift-Based Ray Propagation
MMBIA '01 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA'01)
A graph-segment-based unsupervised classification for multispectral remote sensing images
WSEAS Transactions on Information Science and Applications
A study on multiple objects detection, loading and control in video for augmented reality
WSEAS Transactions on Computers
Robust individuals control chart for change point model
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A quantitative analysis of change background statistics on the capability of tracking objects using "mean shift" procedure is present in this paper. Change of background statistics assumed changing of mean of brightness and changing noise variance in the scene. Quantitative analysis implies detection error and number of iteration needed for position determination using "mean shift" procedure.