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» Multi-Kernel Object Tracking
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CVPR
2005
IEEE
16 years 4 months ago
Kernel-Based Bayesian Filtering for Object Tracking
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
DCOSS
2005
Springer
15 years 8 months ago
Design and Analysis of Wave Sensing Scheduling Protocols for Object-Tracking Applications
Abstract. Many sensor network applications demand tightly-bounded object detection quality. To meet such stringent requirements, we develop three sensing scheduling protocols to gu...
Shansi Ren, Qun Li, Haining Wang, Xiaodong Zhang
IDEAS
2002
IEEE
170views Database» more  IDEAS 2002»
15 years 7 months ago
Continual Neighborhood Tracking for Moving Objects Using Adaptive Distances
Based on the recent progress of digital cartography, global positioning systems (GPSs), and hand-held devices, there are growing needs of technology that provides neighborhood inf...
Yoshiharu Ishikawa, Hiroyuki Kitagawa, Tooru Kawas...
NIPS
2003
15 years 3 months ago
Learning Non-Rigid 3D Shape from 2D Motion
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
IWPC
2007
IEEE
15 years 8 months ago
Tracking Objects to Detect Feature Dependencies
The domain-specific ontology of a software system includes a set of features and their relationships. While the problem of locating features in object-oriented programs has been ...
Adrian Lienhard, Orla Greevy, Oscar Nierstrasz