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Displaying 1-10 out of 10 total
A regularized spectral algorithm for Hidden Markov Models with applications in computer vision
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Ha Quang Minh,M. Cristani,A. Perina,V. Murino
Issue Date:June 2012
pp. 2384-2391
Hidden Markov Models (HMMs) are among the most important and widely used techniques to deal with sequential or temporal data. Their application in computer vision ranges from action/gesture recognition to videosurveillance through shape analysis. Although ...
 
Natural scenes categorization by hierarchical extraction of typicality patterns
Found in: Image Analysis and Processing, International Conference on
By A. Perina, M. Cristani, V. Murino
Issue Date:September 2007
pp. 801-806
Natural scene categorization of images represents a very useful task for automatic image analysis systems in a wide variety of applications. In the literature, several methods have been proposed facing this issue with excellent results. Typically, features...
 
Decentralized particle filter for joint individual-group tracking
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By L. Bazzani,M. Cristani,V. Murino
Issue Date:June 2012
pp. 1886-1893
In this paper, we address the task of tracking groups of people in surveillance scenarios. This is a major challenge in computer vision, since groups are structured entities, subjected to repeated split and merge events. Our solution is a joint individual-...
 
Geo-located image analysis using latent representations
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By M. Cristani, A. Perina, U. Castellani, V. Murino
Issue Date:June 2008
pp. 1-8
Image categorization is undoubtedly one of the most challenging open problems faced in Computer Vision, far from being solved by employing pure visual cues. Recently, additional textual “tags” can be associated to images, enriching their semantic interpret...
 
Stel component analysis: Modeling spatial correlations in image class structure
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By N. Jojic, A. Perina, M. Cristani, V. Murino, B. Frey
Issue Date:June 2009
pp. 2044-2051
As a useful concept in the study of the low level image class structure, we introduce the notion of a structure element - dasiastel.psila The notion is related to the notions of a pixel, superpixel, segment or a part, but instead of referring to an element...
 
Person re-identification by symmetry-driven accumulation of local features
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By M. Farenzena, L. Bazzani, A. Perina, V. Murino, M. Cristani
Issue Date:June 2010
pp. 2360-2367
In this paper, we present an appearance-based method for person re-identification. It consists in the extraction of features that model three complementary aspects of the human appearance: the overall chromatic content, the spatial arrangement of colors in...
 
Auditory dialog analysis and understanding by generative modelling of interactional dynamics
Found in: Computer Vision and Pattern Recognition Workshop
By M. Cristani, A. Pesarin, C. Drioli, A. Tavano, A. Perina, V. Murino
Issue Date:June 2009
pp. 103-109
In the last few years, the interest in the analysis of human behavioral schemes has dramatically grown, in particular for the interpretation of the communication modalities called social signals. They represent well defined interaction patterns, possibly u...
 
HMM-based geometric signatures for compact 3D face representation and matching
Found in: Computer Vision and Pattern Recognition Workshop
By U. Castellani, M. Cristani, X. Lu, V. Murino, A. K. Jain
Issue Date:June 2008
pp. 1-6
3D face recognition(s) systems improve current 2D image-based approaches, but in general they are required to deal with larger amounts of data. Therefore, a compact representation of 3D faces is often crucial for a better manipulation of data, in the conte...
 
Characterizing Humans on Riemannian Manifolds
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By D. Tosato,M. Spera,M. Cristani,V. Murino
Issue Date:August 2013
pp. 1972-1984
In surveillance applications, head and body orientation of people is of primary importance for assessing many behavioral traits. Unfortunately, in this context people are often encoded by a few, noisy pixels so that their characterization is difficult. We ...
 
Integrated Region- and Pixel-based Approach to Background Modelling
Found in: Motion and Video Computing, IEEE Workshop on
By M. Cristani, M. Bicego, V. Murino
Issue Date:December 2002
pp. 3
In this paper a new probabilistic method for background modelling is proposed, aimed at the application in video surveillance tasks using a monitoring static camera. Recently, methods employing Time-Adaptive, Per Pixel, Mixture of Gaussians (TAPPMOG) model...
 
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