Video Analytics for Audience Measurement

1. Front Matter

   Pages I-X

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2. Introduction

   1. Front Matter

      Pages 1-1

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   2. The Applications of Video Analytics in Media Planning, Trade and Shopper Marketing

      • Matteo Testori

      Pages 3-20

3. Demographics

   1. Front Matter

      Pages 21-21

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   2. Pervasive Retail Strategy Using a Low-Cost Free Gaze Estimation System

      • Dario Cazzato, Marco Leo, Paolo Spagnolo, Cosimo Distante

      Pages 23-39

   3. Face Re-Identification for Digital Signage Applications

      • Giovanni Maria Farinella, Giuseppe Farioli, Sebastiano Battiato, Salvo Leonardi, Giovanni Gallo

      Pages 40-52

   4. Evaluation of LBP and HOG Descriptors for Clothing Attribute Description

      • Javier Lorenzo-Navarro, Modesto Castrillón, Enrique Ramón, David Freire

      Pages 53-65

   5. Features Descriptors for Demographic Estimation: A Comparative Study

      • Pierluigi Carcagnì, Marco Del Coco, Pier Luigi Mazzeo, Andrea Testa, Cosimo Distante

      Pages 66-85

   6. Comparison of Facial Alignment Techniques: With Test Results on Gender Classification Task

      • Tunç Güven Kaya, Engin Firat

      Pages 86-96

   7. Multi-view Face Detection with One Classifier for Video Analytics Systems

      • Tunç Güven Kaya, Engin Firat

      Pages 97-108

4. Modelling Consumer Behaviour

   1. Front Matter

      Pages 109-109

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   2. Online Audience Measurement System Based on Machine Learning Techniques

      • Vladimir Khryashchev, Andrey Priorov, Alexander Ganin

      Pages 111-122

   3. Modelling In-Store Consumer Behaviour Using Machine Learning and Digital Signage Audience Measurement Data

      • Robert Ravnik, Franc Solina, Vesna Zabkar

      Pages 123-133

   4. Shopper Behaviour Analysis Based on 3D Situation Awareness Information

      • Satu-Marja Mäkelä, Sari Järvinen, Tommi Keränen, Mikko Lindholm, Elena Vildjiounaite

      Pages 134-145

   5. Shopper Analytics: A Customer Activity Recognition System Using a Distributed RGB-D Camera Network

      • Daniele Liciotti, Marco Contigiani, Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, Valerio Placidi

      Pages 146-157

5. Back Matter

   Pages 159-159

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This book constitutes the refereed contest reports of the 1st International Workshop, VAAM 2014, held in Stockholm, Sweden, in August 2014. The 10 revised full papers presented were carefully reviewed and selected from 13 submissions. The aim of this workshop is to provide an overview of state of the art methods for audience measurements in retail and Digital Signage, end-users attraction, and stimulate the creation of appropriate benchmark dataset to be used as reference for the development of novel audience measurement algorithms. Papers are invited under the following topics: demographics and modeling consumer behaviour.

• 3D imaging
• Activity recognition and understanding
• Biometrics
• Cross-validation
• Feature selection
• appeareance and texture representations
• audience measurenent system
• behaviour analysis
• classifier systems
• computer vision
• digital signage
• face recognition
• human-computer interaction
• iamge representation
• interest point and salient region detections
• machine learning
• object recognition
• shape inference
• support vector machines
• video analysis

• National Research Council of Italy, Arnesano, Italy

  Cosimo Distante

• Dipartimento di Matematica e Informatica, University of Catania IT, Catania, Italy

  Sebastiano Battiato

• Queen Mary University of London, London, United Kingdom

  Andrea Cavallaro

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