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» An Object Tracking Scheme Based on Local Density
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LCN
2006
IEEE
15 years 6 months ago
Landscape-3D; A Robust Localization Scheme for Sensor Networks over Complex 3D Terrains
— Despite the fact that sensor networks could often be deployed over three-dimensional (3D) terrains, most approaches on sensor localizations are designed and evaluated consideri...
Liqiang Zhang, Xiaobo Zhou, Qiang Cheng
115
Voted
CVPR
1999
IEEE
16 years 2 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg
ICPR
2002
IEEE
16 years 1 months ago
Object Segmentation and Tracking Using Video Locales
In this paper, we present a new technique based on feature localization for segmenting and tracking objects in videos. A video locale is a sequence of image feature locales that s...
James Au, Ze-Nian Li, Mark S. Drew
112
Voted
TPDS
2008
120views more  TPDS 2008»
15 years 7 days ago
A New Storage Scheme for Approximate Location Queries in Object-Tracking Sensor Networks
Energy efficiency is one of the most critical issues in the design of wireless sensor networks. Observing that many sensor applications for object tracking can tolerate a certain d...
Jianliang Xu, Xueyan Tang, Wang-Chien Lee
134
Voted
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
13 years 2 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...