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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Um algoritmo eficiente é proposto para o dimensionamento adaptativo de uma janela de rastreamento em rastreamento de vídeo baseado em correlação. Como uma janela de rastreamento especifica uma região de suporte ao estimar o deslocamento do alvo, a capacidade de adaptar o tamanho da janela em relação a um alvo em movimento influencia significativamente o desempenho do rastreamento de vídeo. A estratégia básica do algoritmo proposto é manter a taxa de ocupação do alvo na janela de rastreamento dentro de um intervalo especificado. Como tal, o algoritmo proposto mede a taxa de ocupação usando a razão entre a potência dos gradientes espaciais nas subjanelas de borda, que margeiam a janela de rastreamento, e aquela na janela de rastreamento. Além disso, o nível de qualquer fundo complexo e ruído branco aditivo também é avaliado para reduzir seu efeito nos gradientes. Resultados experimentais usando várias sequências artificiais e reais confirmam que o algoritmo proposto pode efetivamente ajustar uma janela de rastreamento para um alvo em movimento e é robusto para um fundo e ruído complexos.
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Jae Gon SON, Chae Whan LIM, Il CHOI, Nam Chul KIM, "Adaptive Sizing of Tracking Window for Correlation-Based Video Tracking" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 6, pp. 1015-1021, June 2002, doi: .
Abstract: An efficient algorithm is proposed for the adaptive sizing of a tracking window in correlation-based video tracking. Since a tracking window specifies a support region when estimating a target displacement, the ability to adapt the window size relative to a moving target significantly influences the performance of video tracking. The basic strategy of the proposed algorithm is to maintain the occupancy rate of the target in the tracking window within a specified range. As such, the proposed algorithm measures the occupancy rate using the ratio of the power of the spatial gradients in the edge subwindows, which edge the tracking window, to that in the tracking window. In addition, the level of any complex background and additive white noise is also evaluated to reduce their effect on the gradients. Experimental results using various artificial and real sequences confirm that the proposed algorithm can effectively adjust a tracking window to a moving target and is robust to a complex background and noise.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_6_1015/_p
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@ARTICLE{e85-d_6_1015,
author={Jae Gon SON, Chae Whan LIM, Il CHOI, Nam Chul KIM, },
journal={IEICE TRANSACTIONS on Information},
title={Adaptive Sizing of Tracking Window for Correlation-Based Video Tracking},
year={2002},
volume={E85-D},
number={6},
pages={1015-1021},
abstract={An efficient algorithm is proposed for the adaptive sizing of a tracking window in correlation-based video tracking. Since a tracking window specifies a support region when estimating a target displacement, the ability to adapt the window size relative to a moving target significantly influences the performance of video tracking. The basic strategy of the proposed algorithm is to maintain the occupancy rate of the target in the tracking window within a specified range. As such, the proposed algorithm measures the occupancy rate using the ratio of the power of the spatial gradients in the edge subwindows, which edge the tracking window, to that in the tracking window. In addition, the level of any complex background and additive white noise is also evaluated to reduce their effect on the gradients. Experimental results using various artificial and real sequences confirm that the proposed algorithm can effectively adjust a tracking window to a moving target and is robust to a complex background and noise.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - Adaptive Sizing of Tracking Window for Correlation-Based Video Tracking
T2 - IEICE TRANSACTIONS on Information
SP - 1015
EP - 1021
AU - Jae Gon SON
AU - Chae Whan LIM
AU - Il CHOI
AU - Nam Chul KIM
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2002
AB - An efficient algorithm is proposed for the adaptive sizing of a tracking window in correlation-based video tracking. Since a tracking window specifies a support region when estimating a target displacement, the ability to adapt the window size relative to a moving target significantly influences the performance of video tracking. The basic strategy of the proposed algorithm is to maintain the occupancy rate of the target in the tracking window within a specified range. As such, the proposed algorithm measures the occupancy rate using the ratio of the power of the spatial gradients in the edge subwindows, which edge the tracking window, to that in the tracking window. In addition, the level of any complex background and additive white noise is also evaluated to reduce their effect on the gradients. Experimental results using various artificial and real sequences confirm that the proposed algorithm can effectively adjust a tracking window to a moving target and is robust to a complex background and noise.
ER -