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In this paper, we present a novel framework to detect abnormal behaviors in surveillance videos by using fuzzy clustering and multiple Auto-Encoders (FMAE). As detecting abnormal behaviors is often treated as an unsupervised task, how to describe normal patterns becomes the key point. Considering there are many types of normal behaviors in the daily life, we use the fuzzy clustering technique to roughly...
We propose a general and fully automatic framework for 3D facial expression recognition by modeling sparse representation of conformal images. According to Riemann Geometry theory, a 3D facial surface S embedded in ℝ3, which is a topological disk, can be conformally mapped to a 2D unit disk D through the discrete surface Ricci Flow algorithm. Such a conformal mapping induces a unique and intrinsic...
Localization testing ensures that localized software meets the requirements of local language, market and user's habits, it is an important part of international software testing. In, this paper, based on localization testing theory and applications, the concept, content and purpose of localization testing are described first, then three commonly used testing models have been compared, moreover, the...
Faulty components in a network need to be localized and repaired to sustain the health of the network. In this paper, we propose a novel approach that carefully combines active and passive measurements to localize faults in wireless sensor networks. More specifically, we formulate a problem of optimal sequential testing guided by end-to-end data. This problem determines an optimal testing sequence...
Audio steganalysis has attracted more attentions recently. Echo steganalysis is one of the most challenging research fields. In this paper, an effective steganalysis method based on statistical moments of peak frequency is proposed. Combined with power cepstrum, it statistically analyzes the peak frequency using short window extracting, and then calculates the second order and third order center moments...
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