000717093 000__ 05050cam\a2200481Ii\4500 000717093 001__ 717093 000717093 005__ 20230306140153.0 000717093 006__ m\\\\\o\\d\\\\\\\\ 000717093 007__ cr\cn\nnnunnun 000717093 008__ 141110s2014\\\\sz\a\\\\ob\\\\001\0\eng\d 000717093 020__ $$a9783319108070$$qelectronic book 000717093 020__ $$a3319108077$$qelectronic book 000717093 020__ $$z9783319108063 000717093 020__ $$z3319108069 000717093 0247_ $$a10.1007/978-3-319-10807-0$$2doi 000717093 035__ $$aSP(OCoLC)ocn894893409 000717093 035__ $$a717093 000717093 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dYDXCP$$dOCLCO$$dGW5XE$$dN$T$$dUPM$$dCOO 000717093 049__ $$aISEA 000717093 050_4 $$aTK7872.D48$$bH86 2014eb 000717093 08204 $$a004.6$$223 000717093 24500 $$aHuman behavior understanding in networked sensing$$h[electronic resource] :$$btheory and applications of networks of sensors /$$cPaolo Spagnolo, Pier Luigi Mazzeo, Cosimo Distante, editors. 000717093 264_1 $$aCham :$$bSpringer,$$c2014. 000717093 300__ $$a1 online resource :$$bcolor illustrations 000717093 336__ $$atext$$btxt$$2rdacontent 000717093 337__ $$acomputer$$bc$$2rdamedia 000717093 338__ $$aonline resource$$bcr$$2rdacarrier 000717093 504__ $$aIncludes bibliographical references and index. 000717093 5050_ $$aPart I: Distributed Sensing Architectures -- Towards Cognitive and Perceptive Video Systems -- Access-Centric In-Network Storage Optimization in Distributed Sensing Networks -- Decentralized Human Tracking in Visual Sensor Networks -- Real-Time Tracking for Moving Target in WSN with Uncovered Holes -- Sequential Anomaly Detection Using Wireless Sensor Networks in Unknown Environment -- Part II: Distributed Sensing Applications -- A Full-Scale Hardware Solution for Crowd Evacuation via Multiple Cameras -- Visual Sensor Networks Adaptive Online Configuration of Surveillance Networks with Distributed Smart Cameras -- Human Detection and Tracking in Healthcare Applications Through the Use of a Network of Sensors -- Automatic Players Detection and Tracking in Multi-Camera Tennis Videos -- Data Fusion with a Dense Sensor Network for Anomaly Detection in Smart Homes -- People Counting Across Non-Overlapping Camera Views by Flow Estimation among Foreground Regions -- 2D Human Pose Estimation and Tracking in Non-Overlapping Cameras -- Exploiting Crowd Synthesis for Multi-Camera Human Tracking -- Part III: Multi-Robot Systems -- Distributed Probabilistic Search and Tracking of Agile Mobile Ground Targets Using a Network of Unmanned Aerial Vehicles -- A Heterogeneous Robotic Network for Distributed Ambient Assisted Living -- Cooperative Multi-Robot Patrol in an Indoor Infrastructure -- Distributed Thermal Identification and Exploitation for Multiple Soaring UAVs -- Distributed Coordination of Networked Robots for Perimeter Surveillance Tasks -- Social-Aware Coordination of Multi-Robot Systems Based on Institutions -- Design of Safety Map with Collectives of Smartphone Sensors. 000717093 506__ $$aAccess limited to authorized users. 000717093 520__ $$aThis unique text/reference provides a broad overview of both the technical challenges in sensor network development, and the real-world applications of distributed sensing. Important aspects of distributed computing in large-scale networked sensor systems are analyzed in the context of human behavior understanding, including such topics as systems design tools and techniques, in-network signals, and information processing. Additionally, the book examines a varied range of application scenarios, covering surveillance, indexing and retrieval, patient care, industrial safety, social and ambient intelligence, and sports analysis. Topics and features: Contains valuable contributions from an international selection of leading experts in the field Presents a high-level introduction to the aims and motivations underpinning distributed sensing Describes decision-making algorithms in the presence of complex sensor networks Provides a detailed analysis of the design, implementation, and development of a distributed network of homogeneous or heterogeneous sensors Reviews the application of distributed sensing to human behavior understanding and autonomous intelligent vehicles Includes a helpful glossary and a list of acronyms This authoritative collection offers practical insights of great benefit to graduate students, researchers, and practitioners from such diverse communities as computer vision, networked embedded sensing, and artificial intelligence. Dr. Paolo Spagnolo, Dr. Pier Luigi Mazzeo and Dr. Cosimo Distante are Researchers at the Italian National Research Council, Lecce, Italy. 000717093 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 9, 2014). 000717093 650_0 $$aSensor networks. 000717093 650_0 $$aHuman activity recognition. 000717093 650_0 $$aRobots. 000717093 7001_ $$aSpagnolo, Paolo,$$eeditor. 000717093 7001_ $$aMazzeo, Pier Luigi,$$eeditor. 000717093 7001_ $$aDistante, Cosimo,$$eeditor. 000717093 77608 $$iPrint version:$$z9783319108063 000717093 85280 $$bebk$$hSpringerLink 000717093 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-10807-0$$zOnline Access 000717093 909CO $$ooai:library.usi.edu:717093$$pGLOBAL_SET 000717093 980__ $$aEBOOK 000717093 980__ $$aBIB 000717093 982__ $$aEbook 000717093 983__ $$aOnline 000717093 994__ $$a92$$bISE