7,583 research outputs found
Gait recognition under carrying condition : a static dynamic fusion method
When an individual carries an object, such as a briefcase, conventional gait recognition algorithms based on average silhouette/Gait Energy Image (GEI) do not always perform well as the object carried may have the potential of being mistakenly regarded as a part of the human body. To solve such a problem, in this paper, instead of directly applying GEI to represent the gait information, we propose a novel dynamic feature template for classification. Based on this extracted dynamic information and some static feature templates (i.e., head part and trunk part), we cast gait recognition on the large USF (University of South Florida) database by adopting a static/dynamic fusion strategy. For the experiments involving carrying condition covariate, significant improvements are achieved when compared with other classic algorithms
Boundary complexity and surface entropy of 2-multiplicative integer systems on
In this article, we introduce the concept of the boundary complexity and
prove that for a 2-multiplicative integer system (2-MIS) on
(or on ), every point
in can be realized as a boundary complexity of a
2-MIS with a specific speed, where r stands for the number of the alphabets.
The result is new and quite different from subshifts of finite
type (SFT) for . Furthermore, the rigorous formula of surface entropy
for a 2-MIS is also presented. This provides an efficient method
to calculate the topological entropy for 2-MIS and also provides
an intrinsic differences between -MIS and SFTs for
and
3,3-Dinitroazetidinium 2-hydroxybenzoate
In the title gem-dinitroazetidinium 2-hydroxybenzoate salt, C3H6N3O4
+·C7H5O3
−, the azetidine ring is virtually planar, with a mean deviation from the plane of 0.0242 Å. The dihedral angle between the two nitro groups is 87.5 (1)°
Investigating the Hotspot and Evolution Path in the Field of Art Design: A Social Network Analysis Approach
With the purpose of finding out the development trend of Chinese art design discipline, a key network in the field of art design was constructed using social network analysis method to perform an in-depth investigation of the evolution path of China’s research hotspots in art design. This paper employs the Netdraw and the Bicomb software to extract high-frequency key themes and to draw the key themes co-occurrence social network in the field of art design, respectively. The key themes in the field of art design were classified and summarized into three stages from 2003 to 2007, 2008 to 2010 and from 2011 to 2016. The results showed a diversified research direction of China’s art design, and many fields such as traditional art, environmental art, and information art design were beginning to receive great attention. However, teaching and innovation have been the focus of attention in the field of art design. In addition, the correlation between research directions in the field of Chinese art design is gradually increasing and the key network shows a special small-world effect. But, there was yet to be any significant alliance among the research topics. Keywords: Art design; Social network analysis; Research hotspot; Evolution pat
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