Video Analytics for Audience Measurement: First by Cosimo Distante, Visit Amazon's Sebastiano Battiato Page,

By Cosimo Distante, Visit Amazon's Sebastiano Battiato Page, search results, Learn about Author Central, Sebastiano Battiato, , Andrea Cavallaro

This e-book constitutes the refereed contest stories of the first overseas Workshop, VAAM 2014, held in Stockholm, Sweden, in August 2014. the ten revised complete papers awarded have been rigorously reviewed and chosen from thirteen submissions. the purpose of this workshop is to supply an outline of cutting-edge equipment for viewers measurements in retail and electronic Signage, end-users appeal, and stimulate the production of acceptable benchmark dataset for use as reference for the advance of novel viewers dimension algorithms. Papers are invited lower than the next themes: demographics and modeling shopper behaviour.

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Extra resources for Video Analytics for Audience Measurement: First International Workshop, VAAM 2014, Stockholm, Sweden, August 24, 2014. Revised Selected Papers

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Future works will deal with the massive tests of the system in real shopping centers and on the definition of digital signage metrics for the exploitation of the extracted information for the definition of decision making support systems oriented to the creation/modification of the retail strategies. References 1. Apr 2014. aspx 2. : Candide-3-an updated parameterised face (2001) 3. : Recognizing visual focus of attention from head pose in natural meetings. IEEE Trans. Syst. Man Cybern. Part B: Cybern.

25–30. IEEE (2012) 13. : General theory of remote gaze estimation using the pupil center and corneal reflections. IEEE Trans. Biomed. Eng. 53(6), 1124–1133 (2006) 14. : In the eye of the beholder: A survey of models for eyes and gaze. IEEE Trans. Pattern Anal. Mach. Intell. 32(3), 478–500 (2010) 15. : A 2d eye gaze estimation system with low-resolution webcam images. EURASIP J. Adv. Signal Process. 2011(1), 1–11 (2011) 38 D. Cazzato et al. 16. : Improving human-computer interaction by gaze tracking.

Although the explosion of the field, in both academia and industry, it seems that measurements about the re-identification of a person in front a smart screen has been not taken into account in the context of digital signage. The information collected with a re-identification engine could be useful to answer the following question: is a specific person back to the advertising screen within a time slot? M. Farinella et al. behaviour of the smart advertising screen which can automatically understand if the person is a new user or it has been seen already within a time slot.

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