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TSMC
2008
128views more  TSMC 2008»
13 years 8 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
ISVC
2010
Springer
13 years 6 months ago
A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos
Abstract. In this work we propose a mechanism which looks at processing the low-level visual information present in video frames and prepares mid-level tracking trajectories of obj...
Alireza Tavakkoli, Mircea Nicolescu, George Bebis
SASO
2007
IEEE
14 years 3 months ago
Emergence of Smooth Pursuit using Chaos
The task of tracking an object has been fully studied and many solutions presented before. However, it is a perfect test bed for the study of a novel model using Coupled Chaos Sys...
Boris Duran, Giorgio Metta, Giulio Sandini
ICASSP
2011
IEEE
13 years 14 days ago
Robust video object tracking based on multiple kernels with projected gradients
In kernel-based video object tracking, the use of single kernel often suffers from the occlusion. In order to provide more robust tracking performance, multiple inter-related kern...
Chun-Te Chu, Jenq-Neng Hwang, Hung-I. Pai, Kung-Mi...
ICIP
2000
IEEE
14 years 10 months ago
An Improved Video Object Tracking Algorithm Based on Motion Re-Estimation
In this paper, we try to improve a video object-tracking algorithm using a motion re-estimation scheme. The usual object tracking algorithm is composed of two steps: object projec...
Jungeun Lim, Hong K. Cho, Jong Beom Ra