Sciweavers

2138 search results - page 51 / 428
» Multi-Kernel Object Tracking
Sort
View
TSMC
2008
128views more  TSMC 2008»
14 years 9 months ago
Adaptive Sensor Placement and Boundary Estimation for Monitoring Mass Objects
Sensor networks are widely used in monitoring and tracking a large number of objects. Without prior knowledge on the dynamics of object distribution, their density estimation could...
Zhen Guo, MengChu Zhou, Guofei Jiang
ICCV
2009
IEEE
14 years 7 months ago
A robust boosting tracker with minimum error bound in a co-training framework
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
Rong Liu, Jian Cheng, Hanqing Lu
TSP
2008
131views more  TSP 2008»
14 years 9 months ago
Smart Sleeping Policies for Energy Efficient Tracking in Sensor Networks
We study the problem of tracking an object that is moving randomly through a dense network of wireless sensors. We assume that each sensor has a limited range for detecting the pr...
Jason A. Fuemmeler, Venugopal V. Veeravalli
ICCV
2011
IEEE
13 years 9 months ago
Superpixel Tracking
While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large change in scale, motion,...
Shu Wang, Huchuan Lu, Fan Yang, Ming-Hsuan Yang
CVPR
2009
IEEE
1148views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Shape Constrained Figure-Ground Segmentation and Tracking
Global shape information is an effective top-down complement to bottom-up figure-ground segmentation as well as a useful constraint to avoid drift during adaptive tracking. We p...
Zhaozheng Yin, Robert T. Collins