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CVPR
2005
IEEE
16 years 3 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 7 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 6 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...
MVA
1990
160views Computer Vision» more  MVA 1990»
15 years 2 months ago
Estimating the Pose and Motion of a Known Object for Real-Time Robotic Tracking
An approach for estimating the pose and motion of a known moving object in three dimensions from a sequence of monocular images is considered. The principle is to obtain initial e...
Olli Silvén
IWPC
2007
IEEE
15 years 7 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