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In this paper we address the problem of online video abnormal event detection. A vast number of methods to automatically detect abnormal events in videos have been recently proposed. However, the majority of these recently proposed methods cannot attain online performance; in other words, they cannot detect events as soon as they occur. Thus there is a lack of methods specifically aimed to detect...
A hierarchical relaxed partitioning system (HRPS) is proposed for recognizing similar activities which has a feature space with multiple overlaps. Two feature descriptors are built from the human motion analysis of a 2-D stick figure to represent cyclic and noncyclic activities. The HRPS first discerns the pure and impure activities, i.e., with no overlaps and multiple overlaps in the feature space,...
Collaborative filtering algorithms, such as matrix factorization techniques, are recently gaining momentum due to their promising performance on recommender systems. However, most collaborative filtering algorithms suffer from data sparsity. Active learning algorithms are effective in reducing the sparsity problem for recommender systems by requesting users to give ratings to some items when they...
This paper proposes a video anomaly detection method based on wake motion descriptors. The method analyses the motion characteristics of the video data, on a video volumeby- video volume basis, by computing the wake left behind by moving objects in the scene. It then probabilistically identifies those never previously seen motion patterns in order to detect anomalies. The method also considers the...
Most CFA (color filter array) interpolation-based digital image forensic methods characterize inter-pixel relationship with a linear model and use the estimated interpolation coefficients as features for image source camera identification. However, various CFA models and interpolation algorithms must be tried for coefficient estimation during the detection process in that the CFA pattern of an image...
Various multivariate time series analysis techniques have been developed with the aim of inferring causal relations between time series. Previously, these techniques have proved their effectiveness on economic and neurophysiological data, which normally consist of hundreds of samples. However, in their applications to gene regulatory inference, the small sample size of gene expression time series...
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