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Centroid

About: Centroid is a research topic. Over the lifetime, 4110 publications have been published within this topic receiving 53637 citations. The topic is also known as: barycenter (geometry) & geometric center of a plane figure.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a simple method for extracting correlated factors simultaneously is described, based on the idea that the centroid pattern coefficients for the sections of unit rank of the complete matrix may be interpreted as structure values for the entire matrix.
Abstract: A simple method for extracting correlated factors simultaneously is described. The method is based on the idea that the centroid pattern coefficients for the sections of unit rank of the complete matrix may be interpreted as structure values for the entire matrix. Only the routine centroid average process is required.

63 citations

Proceedings ArticleDOI
02 Jul 2012
TL;DR: A head detection algorithm for depth video provided by a Kinect camera and its application to fall detection, which is more robust to human articulation and back bending and less affected by the centroid fluctuation.
Abstract: This article proposes a head detection algorithm for depth video provided by a Kinect camera and its application to fall detection. The proposed algorithm first detects possible head positions and then based on these positions, recognizes people by detecting the head and the shoulders. Searching for head positions is rapid because we only look for the head contour on the human outer contour. The human recognition is a modification of HOG (Histogram of Oriented Gradient) for the head and the shoulders. Compared with the original HOG, our algorithm is more robust to human articulation and back bending. The fall detection algorithm is based on the speed of the head and the body centroid and their distance to the ground. By using both the body centroid and the head, our algorithm is less affected by the centroid fluctuation. Besides, we also present a simple but effective method to verify the distance from the ground to the head and the centroid.

62 citations

Journal ArticleDOI
TL;DR: The approach enables the rapid development of autonomous star-camera systems without the extensive characterizations required to derive polynomic fitting coefficients employed by traditional centroid algorithms.

62 citations

Patent
16 May 1974
TL;DR: In this article, an image converter tube is used to generate electrical signals relating to the position and orientation of a part supported on a reference surface for use by manipulating devices, and the digitized outputs of the tube are analyzed to calculate the position of the centroid of these parts relative to a reference location and the angular displacements of the part relative to the rotation orientation of the test part.
Abstract: A system for generating electrical signals relating to the position and orientation of a part supported on a reference surface for use by manipulating devices includes an image converter tube which receives the light information from a test part and the surface. The scanned output of the tube is digitized and provided to a digital unit which isolates data representing the outline of the part in the direction of viewing. The system then calculates the centroid of the outlined area and a signature radius identifying the orientation of distinctive boundary transitions of the part relative to the centroid. Subsequently, similar parts supported on the reference surface are scanned by the video system and the digitized outputs are analyzed to calculate the position of the centroid of these parts relative to a reference location and the angular displacements of the parts relative to the rotational orientation of the test part.

62 citations

Journal ArticleDOI
17 Sep 2018
TL;DR: In this article, a simple quadratic fit to the pixel of maximum intensity and its two neighboring pixels provides a robust measure of the line centroid, without be biases by noise or asymmetric features in the line profile.
Abstract: Measuring the centroid of a spectral line is a common problem in astronomy. Many methods have been devised to overcome limitations due to either noise in the spectra or asymmetric profiles, the most common of which are the intensity weighted averages (first moment) or fits of analytical (typically Gaussian) profiles. If the spectral line can be considered a single component, we demonstrate that a simple quadratic fit to the pixel of maximum intensity and its two neighboring pixels provides a robust measure of the line centroid. This approach allows for a sub-velocity resolution precision on the line centroid, without be biases by noise or asymmetric features in the line profile and outperforming traditional methods in most situations.

62 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023492
20221,001
2021184
2020202
2019269
2018271