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
우리는 2D로 연결된 인체 부위를 추적하기 위한 새롭고 효율적인 접근 방식을 제안합니다. 우리의 접근 방식에서 인체는 각 부분이 노드로 표시되고 인접한 부분 쌍 간의 관계가 그래프의 가장자리로 표시되는 그래픽 모델로 모델링됩니다. 이러한 문제를 해결하기 위해 다양한 접근 방식이 제안되었지만 효율성은 여전히 중요한 문제입니다. 우리는 부분 기반 신념 전파 모델에서 간단하고 효율적인 모드 탐색 방법인 Quick Shift의 이점을 활용하는 새로운 QSBP(Quick Shift Belief Propagation) 기반 접근 방식을 제시합니다. 이 모델의 독특한 측면은 정확도를 유지하면서 기본 한계 확률 분포의 모드를 효율적으로 발견하는 능력입니다. 이는 QSBP가 BP(Belief Propagation) 및 MSBP(Mean Shift Belief Propagation)와 같은 접근 방식에 비해 상당한 이점을 제공합니다. 또한 행동 기반 모델과 함께 QSBP를 사용하는 방법을 보여줍니다. 이는 자체 폐색을 처리하고 검색 공간을 더욱 줄이는 추가 이점을 제공합니다. 우리는 제안된 접근법에 대한 정성적, 정량적 분석을 제시하고 고무적인 결과를 제시합니다.
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.
부
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
부
@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},}
부
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 -