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
Kami mencadangkan pendekatan baru dan cekap untuk menjejaki bahagian tubuh manusia yang diartikulasikan 2D. Dalam pendekatan kami, tubuh manusia dimodelkan oleh model grafik di mana setiap bahagian diwakili oleh nod dan hubungan antara sepasang bahagian bersebelahan ditunjukkan oleh tepi dalam graf. Pelbagai pendekatan telah dicadangkan untuk menyelesaikan masalah tersebut, tetapi kecekapan masih menjadi masalah penting. Kami mempersembahkan pendekatan berasaskan Penyebaran Kepercayaan Anjakan Pantas (QSBP) baharu yang mendapat manfaat daripada Anjakan Pantas, kaedah pencarian mod yang mudah dan cekap, dalam model penyebaran kepercayaan berasaskan bahagian. Aspek unik model ini ialah keupayaannya untuk menemui secara cekap mod bagi taburan kebarangkalian marginal yang mendasari sambil mengekalkan ketepatan. Ini memberikan QSBP kelebihan yang ketara berbanding pendekatan seperti Penyebaran Kepercayaan (BP) dan Penyebaran Kepercayaan Anjakan Min (MSBP). Selain itu, kami menunjukkan penggunaan QSBP dengan model berasaskan tindakan; ini memberikan kelebihan tambahan dalam mengendalikan oklusi diri dan seterusnya mengurangkan ruang carian. Kami membentangkan analisis kualitatif dan kuantitatif pendekatan yang dicadangkan dengan hasil yang menggalakkan.
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Salinan
Kittiya KHONGKRAPHAN, Pakorn KAEWTRAKULPONG, "Efficient Human Body Tracking by Quick Shift Belief Propagation" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 4, pp. 905-912, April 2011, doi: 10.1587/transinf.E94.D.905.
Abstract: We propose a novel and efficient approach for tracking 2D articulated human body parts. In our approach, the human body is modeled by a graphical model where each part is represented by a node and the relationship between a pair of adjacent parts is indicated by an edge in the graph. Various approaches have been proposed to solve such problems, but efficiency is still a vital problem. We present a new Quick Shift Belief Propagation (QSBP) based approach which benefits from Quick Shift, a simple and efficient mode seeking method, in a part based belief propagation model. The unique aspect of this model is its ability to efficiently discover modes of the underlying marginal probability distribution while preserving the accuracy. This gives QSBP a significant advantage over approaches like Belief Propagation (BP) and Mean Shift Belief Propagation (MSBP). Moreover, we demonstrate the use of QSBP with an action based model; this provides additional advantages of handling self-occlusion and further reducing the search space. We present qualitative and quantitative analysis of the proposed approach with encouraging results.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.905/_p
Salinan
@ARTICLE{e94-d_4_905,
author={Kittiya KHONGKRAPHAN, Pakorn KAEWTRAKULPONG, },
journal={IEICE TRANSACTIONS on Information},
title={Efficient Human Body Tracking by Quick Shift Belief Propagation},
year={2011},
volume={E94-D},
number={4},
pages={905-912},
abstract={We propose a novel and efficient approach for tracking 2D articulated human body parts. In our approach, the human body is modeled by a graphical model where each part is represented by a node and the relationship between a pair of adjacent parts is indicated by an edge in the graph. Various approaches have been proposed to solve such problems, but efficiency is still a vital problem. We present a new Quick Shift Belief Propagation (QSBP) based approach which benefits from Quick Shift, a simple and efficient mode seeking method, in a part based belief propagation model. The unique aspect of this model is its ability to efficiently discover modes of the underlying marginal probability distribution while preserving the accuracy. This gives QSBP a significant advantage over approaches like Belief Propagation (BP) and Mean Shift Belief Propagation (MSBP). Moreover, we demonstrate the use of QSBP with an action based model; this provides additional advantages of handling self-occlusion and further reducing the search space. We present qualitative and quantitative analysis of the proposed approach with encouraging results.},
keywords={},
doi={10.1587/transinf.E94.D.905},
ISSN={1745-1361},
month={April},}
Salinan
TY - JOUR
TI - Efficient Human Body Tracking by Quick Shift Belief Propagation
T2 - IEICE TRANSACTIONS on Information
SP - 905
EP - 912
AU - Kittiya KHONGKRAPHAN
AU - Pakorn KAEWTRAKULPONG
PY - 2011
DO - 10.1587/transinf.E94.D.905
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2011
AB - We propose a novel and efficient approach for tracking 2D articulated human body parts. In our approach, the human body is modeled by a graphical model where each part is represented by a node and the relationship between a pair of adjacent parts is indicated by an edge in the graph. Various approaches have been proposed to solve such problems, but efficiency is still a vital problem. We present a new Quick Shift Belief Propagation (QSBP) based approach which benefits from Quick Shift, a simple and efficient mode seeking method, in a part based belief propagation model. The unique aspect of this model is its ability to efficiently discover modes of the underlying marginal probability distribution while preserving the accuracy. This gives QSBP a significant advantage over approaches like Belief Propagation (BP) and Mean Shift Belief Propagation (MSBP). Moreover, we demonstrate the use of QSBP with an action based model; this provides additional advantages of handling self-occlusion and further reducing the search space. We present qualitative and quantitative analysis of the proposed approach with encouraging results.
ER -