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ON $\mathcal{I}$-SCATTERED SPACES
Li, Zhaowen,Lu, Shizhan Korean Mathematical Society 2014 대한수학회보 Vol.51 No.3
In this paper, $\mathcal{I}$-scattered spaces are introduced, and their characterizations and properties are given. We prove that (X, ${\tau}$) is scattered if and only if (X, ${\tau}$, $\mathcal{I}$) is $\mathcal{I}$-scattered for any ideal $\mathcal{I}$ on X.
Zhaowen Li,Shizhan Lu 대한수학회 2014 대한수학회보 Vol.51 No.3
In this paper, I-scattered spaces are introduced, and their characterizations and properties are given. We prove that (X, ) is scat- tered if and only if (X, , I) is I-scattered for any ideal I on X.
A Fast and Robust Algorithm for Fighting Behavior Detection Based on Motion Vectors
( Jianbin Xie ),( Tong Liu ),( Wei Yan ),( Peiqin Li ),( Zhaowen Zhuang ) 한국인터넷정보학회 2011 KSII Transactions on Internet and Information Syst Vol.5 No.11
In this paper, we propose a fast and robust algorithm for fighting behavior detection based on Motion Vectors (MV), in order to solve the problem of low speed and weak robustness in traditional fighting behavior detection. Firstly, we analyze the characteristics of fighting scenes and activities, and then use motion estimation algorithm based on block-matching to calculate MV of motion regions. Secondly, we extract features from magnitudes and directions of MV, and normalize these features by using Joint Gaussian Membership Function, and then fuse these features by using weighted arithmetic average method. Finally, we present the conception of Average Maximum Violence Index (AMVI) to judge the fighting behavior in surveillance scenes. Experiments show that the new algorithm achieves high speed and strong robustness for fighting behavior detection in surveillance scenes.