The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Uma extensão do rastreador visual tradicional baseado em cores, isto é, o rastreador de deslocamento médio continuamente adaptativo, é fornecida para melhorar a conveniência e generalidade do rastreador baseado em cores. Isto é conseguido através da introdução de uma função de densidade de probabilidade para pixels com base no histograma de matiz do objeto. Como mérito, a direção e o tamanho do objeto rastreado são facilmente derivados pela análise de componentes principais (PCA), e sua extensão para o caso tridimensional torna-se direta.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
Kiyoshi NISHIYAMA, Xin LU, "A Novel View of Color-Based Visual Tracker Using Principal Component Analysis" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 12, pp. 3843-3848, December 2008, doi: 10.1093/ietfec/e91-a.12.3843.
Abstract: An extension of the traditional color-based visual tracker, i.e., the continuously adaptive mean shift tracker, is given for improving the convenience and generality of the color-based tracker. This is achieved by introducing a probability density function for pixels based on the hue histogram of object. As its merits, the direction and size of the tracked object are easily derived by the principle component analysis (PCA), and its extension to three-dimensional case becomes straightforward.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.12.3843/_p
Copiar
@ARTICLE{e91-a_12_3843,
author={Kiyoshi NISHIYAMA, Xin LU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Novel View of Color-Based Visual Tracker Using Principal Component Analysis},
year={2008},
volume={E91-A},
number={12},
pages={3843-3848},
abstract={An extension of the traditional color-based visual tracker, i.e., the continuously adaptive mean shift tracker, is given for improving the convenience and generality of the color-based tracker. This is achieved by introducing a probability density function for pixels based on the hue histogram of object. As its merits, the direction and size of the tracked object are easily derived by the principle component analysis (PCA), and its extension to three-dimensional case becomes straightforward.},
keywords={},
doi={10.1093/ietfec/e91-a.12.3843},
ISSN={1745-1337},
month={December},}
Copiar
TY - JOUR
TI - A Novel View of Color-Based Visual Tracker Using Principal Component Analysis
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3843
EP - 3848
AU - Kiyoshi NISHIYAMA
AU - Xin LU
PY - 2008
DO - 10.1093/ietfec/e91-a.12.3843
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2008
AB - An extension of the traditional color-based visual tracker, i.e., the continuously adaptive mean shift tracker, is given for improving the convenience and generality of the color-based tracker. This is achieved by introducing a probability density function for pixels based on the hue histogram of object. As its merits, the direction and size of the tracked object are easily derived by the principle component analysis (PCA), and its extension to three-dimensional case becomes straightforward.
ER -