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Intro -- Preface -- Organization -- Contents -- Smart Homes, Smart Urban Spaces and New Assistive Living Space Concepts in the Smart City -- Multi-resident Location Tracking in Smart Home through Non-wearable Unobtrusive Sensors -- 1 Introduction -- 2 Smarter Safer Home Platform -- 2.1 Overview of SSH Platform -- 2.2 Ground Truth Collection Through Bluetooth Localisation -- 3 Probabilistic Models for Multi-resident Location Tracking -- 3.1 Multi-tracker with Naive Bayes -- 3.2 Multi-tracker with Hidden Markov Models -- 4 Experiments -- 5 Conclusion and Future Work -- References -- People Tracking in Ambient Assisted Living Environments Using Low-Cost Thermal Image Cameras -- 1 Introduction -- 2 Related Work -- 3 System Overview -- 4 Detailed System Description -- 4.1 Sensorial Equipment -- 4.2 Preprocessing of Raw Images -- 4.3 Data Association -- 4.4 Monte-Carlo Particle Filter Tracking -- 5 Experimental Evaluation -- 6 Conclusions and Future Work -- References -- A Preprocessing Algorithm to Increase OCR Performance on Application Processor-Centric FPGA Architec ... -- Abstract -- 1 Introduction -- 2 Related Works -- 3 The Specification -- 4 The Algorithm -- 5 Results -- 6 Conclusion -- Acknowledgement -- References -- E-Health for Future Smart Cities -- DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Deep Learning, Convolutional Neural Network (CNN), and Their Applications to Visual-Based Food Image Recognition -- 3.2 Proposed CNN-Based Approach for Visual-Based Food Image Recognition -- 4 Experimental Results -- 4.1 Experimental Results on UEC-256 -- 4.2 Experimental Results on Food-101 -- 4.3 The Employment of Bounding Box -- 4.4 Running Time -- 5 Conclusion -- Acknowledgments -- References.