Recent Developments in Video Surveillance
1 Lecture 11 Segmentation and Grouping Gary Bradski Sebastian Thrun * Pictures from Mean Shift: A Robust Approach.
Color reduction using the combination of the kohonen self organized feature map and the gustafson-kessel fuzzy algorithm
Chama 13 MI SPIE Poster - Automated Lung Field Segmentation in CT Images Using Mean Shift Clustering and Geometrical Features
Self-Validated Labeling of MRFs for Image Segmentation Wei Feng 1,2, Jiaya Jia 2 and Zhi-Qiang Liu 1 1. School of Creative Media, City University of Hong.
Grouping and Segmentation Computer Vision CS 543 / ECE 549 University of Illinois Derek Hoiem 03/01/10.
Dorin Comaniciu, Visvanathan Ramesh and Peter Meer “Kernel-Based Object Tracking”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25,
A General Framework for Tracking Multiple People from a Moving Camera Wongun Choi, Caroline Pantofaru, Silvio Savarese IEEE TRANSACTION ON PATTERN ANALYSIS.
ALIGNMENT OF 3D ARTICULATE SHAPES. Articulated registration Input: Two or more 3d point clouds (possibly with connectivity information) of an articulated.
Image segmentation
Mean-shift and its application for object tracking
Lecture 30: Segmentation
