Target tracking with distributed sensors: the focus of attention problem
TLDR
This paper investigates how disjoint pairs of bearing or range sensors can be best assigned to targets to minimize the expected error in the resulting estimation for target locations, and obtains significant approximation results for specific geometries.About:
This article is published in Computer Vision and Image Understanding.The article was published on 2005-10-01 and is currently open access. It has received 70 citations till now. The article focuses on the topics: Wireless sensor network & Stereo cameras.read more
Citations
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Coverage control for mobile sensing networks
TL;DR: This paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies which are adaptive, distributed, asynchronous, and verifiably correct.
Journal ArticleDOI
Multi-robot target detection and tracking: taxonomy and survey
Cyril Robin,Simon Lacroix +1 more
TL;DR: This article defines classes of missions and problems, and relates the results from various communities according to a unifying taxonomy, and proposes a transverse synthesis which analyses the approaches, models and lacks that are recurrent through all the tackled problems.
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The Sensor Selection Problem for Bounded Uncertainty Sensing Models
Volkan Isler,Ruzena Bajcsy +1 more
TL;DR: It is formally prove that a constant number of sensors suffice for a good estimate-an observation made by many researchers and presented an algorithm for selecting such sensors.
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Sensor Placement for Triangulation-Based Localization
Onur Tekdas,Volkan Isler +1 more
TL;DR: This paper addresses the problem of computing the minimum number and placement of sensors so that the localization uncertainty at every point in the workspace is less than a given threshold and presents a solution framework based on integer linear programming and an approximation algorithm with a constant factor performance guarantee.
Proceedings ArticleDOI
A decentralized motion coordination strategy for dynamic target tracking
TL;DR: This paper presents a decentralized motion planning algorithm for the distributed sensing of a noisy dynamical process by multiple cooperating mobile sensor agents based on a cost function that measures the overall quality of sensing.
References
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Book
Computers and Intractability: A Guide to the Theory of NP-Completeness
TL;DR: The second edition of a quarterly column as discussed by the authors provides a continuing update to the list of problems (NP-complete and harder) presented by M. R. Garey and myself in our book "Computers and Intractability: A Guide to the Theory of NP-Completeness,” W. H. Freeman & Co., San Francisco, 1979.
Journal ArticleDOI
C ONDENSATION —Conditional Density Propagation forVisual Tracking
Michael Isard,Andrew Blake +1 more
TL;DR: The Condensation algorithm uses “factored sampling”, previously applied to the interpretation of static images, in which the probability distribution of possible interpretations is represented by a randomly generated set.
Book
Estimation with Applications to Tracking and Navigation
TL;DR: Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations using a balanced combination of linear systems, probability, and statistics.
Journal ArticleDOI
A solution to the simultaneous localization and map building (SLAM) problem
TL;DR: The paper proves that a solution to the SLAM problem is indeed possible and discusses a number of key issues raised by the solution including suboptimal map-building algorithms and map management.
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