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This paper addresses the dissipative filtering problem for a class of Markov jump Lur'e systems with uncertain transition probabilities in discrete-time domain. The uncertain characteristic of the transition probability matrix is modelled in accordance with the Cartesian product of simplexes, called multi-simplex. A full-order filter is designed such that the resulting error systems are stochastically...
Crowd density estimation is of importance in security monitoring. Many crowd disasters happened because of the loss of control of the crowd density. This paper presents an algorithm to estimate crowd density by employing Markov Random Field (MRF). Three types of image features are extracted for estimating, and they are affected more by the neighboring features than by others, meeting the properties...
Video surveillance in crowd is challenging for public security. This paper focuses on the detection of human abnormal behaviors in crowd. The issue is crucial in some special localities and has been less studied. To achieve this goal, this paper defines a crowd energy based on Markov Random Fields. By using wavelet analysis of the energy curves, the crowd status of the scene is detected. After testing...
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