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Open AccessProceedings Article

An introduction to the Kalman filter

G. Welch
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This article is published in International Conference on Computer Graphics and Interactive Techniques.The article was published on 2001-01-01 and is currently open access. It has received 3169 citations till now. The article focuses on the topics: Kalman filter.

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Citations
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Journal ArticleDOI

Gesture Recognition: A Survey

TL;DR: A survey on gesture recognition with particular emphasis on hand gestures and facial expressions is provided, and applications involving hidden Markov models, particle filtering and condensation, finite-state machines, optical flow, skin color, and connectionist models are discussed in detail.
Journal ArticleDOI

Visual Tracking: An Experimental Survey

TL;DR: It is demonstrated that trackers can be evaluated objectively by survival curves, Kaplan Meier statistics, and Grubs testing, and it is found that in the evaluation practice the F-score is as effective as the object tracking accuracy (OTA) score.
Journal ArticleDOI

Data-driven Soft Sensors in the process industry

TL;DR: Characteristics of the process industry data which are critical for the development of data-driven Soft Sensors are discussed.
Journal ArticleDOI

Vision for mobile robot navigation: a survey

TL;DR: The developments of the last 20 years in the area of vision for mobile robot navigation are surveyed and the cases of navigation using optical flows, using methods from the appearance-based paradigm, and by recognition of specific objects in the environment are discussed.
Journal ArticleDOI

Recent developments in human motion analysis

TL;DR: This paper provides a comprehensive survey of research on computer-vision-based human motion analysis, namely human detection, tracking and activity understanding, and various methods for each issue are discussed in order to examine the state of the art.
References
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Book

Stochastic Processes and Filtering Theory

TL;DR: In this paper, a unified treatment of linear and nonlinear filtering theory for engineers is presented, with sufficient emphasis on applications to enable the reader to use the theory for engineering problems.
Book

Applied optimal control

Book

Linear Optimal Control Systems

TL;DR: In this article, the authors provide an excellent introduction to feedback control system design, including a theoretical approach that captures the essential issues and can be applied to a wide range of practical problems.
Book

Estimation and Tracking: Principles, Techniques, and Software

TL;DR: Brief review of linear algebra and linear systems brief review of probability theory and statistics some basic concepts in estimation linear estimation in static systems linear dynamic systems with random inputs state estimation in discrete-timelinear dynamic systems estimation for Kinematic models.
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