Articulated Human Motion Capturing Using an Evolutionary Algorithm

被引：1
|
作者：
Back, Kristine [1 ]
Mesa, Pilar Hernandez [1 ]
Diebold, Maximilian [2 ]
Leon, Fernando Puente [1 ]
机构：
[1] Karlsruher Inst Technol, Inst Ind Informat Tech, D-76187 Karlsruhe, Germany
[2] Heidelberg Univ, D-69115 Heidelberg, Germany
来源：
TM-TECHNISCHES MESSEN | 2013年 / 80卷 / 10期
关键词：
Articulated motion capture; evolutionary algorithms;
D O I：
10.1515/teme.2013.0041
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
A method for markerless articulated human motion capturing by means of an evolutionary algorithm is presented. Building on the Interacting Simulated Annealing particle filter (ISA), simulated annealing is employed to help searching for the optimal pose. The proposed method is evaluated in comparison to the well known ISA by using video recordings from four different perspectives. Furthermore, for tracking with fewer cameras available, the use of a dynamic model is examined which eliminates ambiguities in the case of self-occluding body parts.
引用
收藏
页码：335 / 342
页数：8
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