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Titlebook: Video Analytics. Face and Facial Expression Recognition and Audience Measurement; Third International Kamal Nasrollahi,Cosimo Distante,Qia

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Saliency Prediction for Visual Regions of Interest with Applications in Advertising,significantly impacts the brand value and assists in audience measurement. A dataset containing 400 print ads across 21 successful brands was used to successfully evaluate the effectiveness of advertisements and their associated fixations, based on the proposed saliency prediction model.
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Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images,k that is able to exploit both spatial and temporal pain information from facial video. In order to analyze the effect of different facial resolutions, we introduce a super-resolution algorithm to generate facial video frames with different resolution setups. We investigated the performance on the p
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Video Analytics. Face and Facial Expression Recognition and Audience MeasurementThird International
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0302-9743 easurement; logo detection; saliency prediction; classification of facial expressions; face recognition; face verification; age estimation; super resolution; pose estimation; and pain recognition. .978-3-319-56686-3978-3-319-56687-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Person Re-identification Dataset with RGB-D Camera in a Top-View Configuration,to extract anthropometric features for the recognition of people passing under the camera. The paper describes in details the collection and construction modalities of the dataset TVPR. This is composed by 100 people and for each video frame nine depth and colour features are computed and provided together with key descriptive statistics.
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A Two-Directional Two-Dimensional PCA Correlation Filter in the Phase only Spectrum for Face Recognatial shifts. An exploration of the capabilities of this novel method is performed using the Yale-B, AR, and YouTube face databases, showing an improvement in face recognition despite using a subspace of smaller dimensionality.
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Person Re-identification Dataset with RGB-D Camera in a Top-View Configuration,-identification is an important topic in scene monitoring, human computer interaction, retail, people counting, ambient assisted living and many other computer vision research. The existing datasets are not suitable for activity monitoring and human behaviour analysis. For this reason we build a nov
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Pervasive System for Consumer Behaviour Analysis in Retail Environments,decisions. Many studies have been carried out about various aspects and consequences of different behaviours. However, only recently the potential of computing systems is being used for automated data collection and processing. In this work, we present a novel pervasive system able to automatically
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