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The development of new technologies based on artificial intelligence and computer vision, together with the possibility of connecting different devices together in real-time, has enabled the development and progress of intelligent video surveillance. Thanks to IoT technologies, high-resolution cameras can be networked to monitor their territory, collect recordings and have them analyzed by artificial intelligence systems trained to identify critical situations. This book discusses new achievements in intelligent video surveillance solutions and their future prospects.
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Activity Monitoring by Multiple Distributed Sensing, AMMDS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of ICPR 2014, the 22nd International Conference on Pattern Recognition. The 9 revised full papers included in the volume investigate the challenges that arise when distributed sensor networks are used to track, monitor, and understand the activity, intent, and motives of human beings. Application areas include human-computer interaction, user interface design, robot learning, and surveillance.
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