Sciweavers

Share
67 search results - page 1 / 14
» Nonparametric color characterization using mean shift
Sort
View
MM
2003
ACM
148views Multimedia» more  MM 2003»
10 years 2 months ago
Nonparametric color characterization using mean shift
Color is very useful in locating and recognizing objects that occur in artificial environments. The color histogram has shown its efficiency and advantages as a general tool for v...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
ICIP
2004
IEEE
10 years 11 months ago
Mean shift based nonparametric motion characterization
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
CVPR
2005
IEEE
10 years 11 months ago
Efficient Mean-Shift Tracking via a New Similarity Measure
The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local minima of a similarity measure between the color...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis
MICCAI
2009
Springer
10 years 10 months ago
Nonparametric Mean Shift Functional Detection in the Functional Space for Task and Resting-state fMRI
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. ...
Jian Cheng, Feng Shi, Kun Wang, Ming Song, Jiefeng...
JUCS
2010
265views more  JUCS 2010»
9 years 8 months ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada
books