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The estimation of number of people is an important research topic in video surveillance and processing applications. This paper presents a new approach to estimating the number of people in crowd scenes. A complex network-based algorithm is used to detect interest points and extract the global texture features in scenarios. We can obtain degree matrices and statistical measures which are highly correlated...
This paper presents a new approach to detect interest points in digital images based on complex network theory. We propose a computable method according to the properties of complex network to each image. We associate a weighted network, analyze the degrees and communities of nodes and can provide visual display of the importance of different interest points in an image. The results show the approach...
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