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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Distante, Cosimo (Editor), Battiato, Sebastiano (Editor), Cavallaro, Andrea (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: Lecture Notes in Computer Science, 8811
• Subjects: Computer science.; Algorithms.; Artificial intelligence.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).; Computer Graphics.; Information Systems Applications (incl. Internet).; Algorithm Analysis and Problem Complexity.

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 th...

Table of Contents:

• Introduction
• The Applications of Video Analytics in Media Planning, Trade and Shopper Marketing
• Demographics
• Pervasive Retail Strategy using a Low-Cost Free Gaze Estimation System
• Face Re-Identification for Digital Signage Applications
• Evaluation of LBP and HOG Descriptors for Clothing Attribute Description
• Features descriptors for demographic estimation: a comparative study
• Comparison of Facial Alignment Techniques: with Test Results on Gender Detection Task
• Multi-view Face Detection with One Classifier for Video Analytics Systems
• Part 3 Modelling Consumer Behavior
• Online Audience Measurement System based on Machine Learning Techniques
• Modelling In-Store Consumer Behavior using Machine Learning and Digital Signage Audience Measurement Data
• Shopper Behavior Analysis Based on 3D Situation Awareness Information
• Shopper Analytics: a customer activity recognition system using a distributed RGB-D camera network.