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A Structure Constraint Matrix Factorization Framework for Human Behavior Segmentation

delete2022-12-01
delete17
PRE
AI
H
Hongbo Gao
C
Chen Lv
T
Tong Zhang *
H
Hongfei Zhao
L
Lei Jiang
J
Junjie Zhou
Y
Yuchao Liu
Y
Yi Huang
韩
韩超 (Chao Han)
DOI:10.1109/TCYB.2021.3095357delete
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摘要

摘要

En 中文
This article presents a structure constraint matrix factorization framework for different behavior segmentation of the human behavior sequential data. This framework is based on the structural information of the behavior continuity and the high similarity between neighboring frames. Due to the high similarity and high dimensionality of human behavior data, the high-precision segmentation of human behavior is hard to achieve from the perspective of application and academia. By making the behavior continuity hypothesis, first, the effective constraint regular terms are constructed. Subsequently, the clustering framework based on constrained non-negative matrix factorization is established. Finally, the segmentation result can be obtained by using the spectral clustering and graph segmentation algorithm. For illustration, the proposed framework is applied to the Weiz dataset, Keck dataset, mo_86 dataset, and mo_86_9 dataset. Empirical experiments on several public human behavior datasets demonstrate that the structure constraint matrix factorization framework can automatically segment human behavior sequences. Compared to the classical algorithm, the proposed framework can ensure consistent segmentation of sequential points within behavior actions and provide better performance in accuracy.
Keyword:
Clustering algorithms
Image segmentation
Principal component analysis
Motion segmentation
Optimization
Matrix decomposition
Image recognition
Computer vision
human behavior segmentation
matrix factorization
spectral clustering
structure constraint

期刊

IEEE Transactions on Cybernetics 封面图
IEEE Transactions on Cybernetics
IF:
10.5
论文数:
1.1W
被引数:
5.0W

机构

T
tsinghua university
学者数:
11.9W
论文数: 10.0W
被引数: 137
U
university of science & technology of china, cas
学者数:
3.2W
论文数: 2.7W
被引数: 74
N
nanjing university
学者数:
7.8W
论文数: 5.6W
被引数: 87
A
Anhui Polytechnic University
学者数:
3.8K
论文数: 2.5K
被引数: 3.5K
C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
S
south china university of technology
学者数:
6.8W
论文数: 5.1W
被引数: 85
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