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» A Multi-Class Tracker Using a Scalable Condensation Filter
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CVPR
2004
IEEE
14 years 7 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
TSP
2008
149views more  TSP 2008»
13 years 4 months ago
Decentralized Quantized Kalman Filtering With Scalable Communication Cost
Estimation and tracking of generally nonstationary Markov processes is of paramount importance for applications such as localization and navigation. In this context, ad hoc wireles...
Eric J. Msechu, Stergios I. Roumeliotis, Alejandro...