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This paper presents a framework which allows urban planners to navigate and interact with large datasets fused with social feeds in real-time, enhanced by a virtual reality (VR) capability, which further promotes the knowledge discovery process and allows to interact with urban data in natural yet immersive way. A challenge in urban planning is making decisions based on datasets which are many times...
Detecting abnormal events in crowded scenes remains challenging due to the diversity of events defined by various applications. Among the many application situations, motion analysis for event representation is suited for crowded scenes. In this paper, we propose a novel abnormal event detection method via likelihood estimation of dynamic-texture motion representation, called Structural Multi-scale...
In this paper, we present our detection, tracking and event recognition methods and the results for PETS 2012. First, ROIs (Regions of Interest) based on geometric constraints are utilized in single view detection to eliminate the negative influence of clutter environment. Then, an optimized observation model is applied to address the ID switching or tracking drifting problem in single view tracking...
Audio steganalysis has attracted more attentions recently. DSSS steganalysis is one of the most challenging research fields. In this paper, a novel algorithm to detect DSSS steganography in audio signal is proposed. Firstly, it takes DWT transform of special segment of audio and takes the detail sub-band coefficients, and then uses GMM to model the coefficients. Secondly, in order to monitor the effect...
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