04619nam 22006735 450 991029966240332120200701082535.03-319-11430-110.1007/978-3-319-11430-9(CKB)3710000000269656(EBL)1968466(SSID)ssj0001372464(PQKBManifestationID)11767963(PQKBTitleCode)TC0001372464(PQKBWorkID)11304995(PQKB)10993990(DE-He213)978-3-319-11430-9(MiAaPQ)EBC1968466(PPN)258859024(PPN)182100138(EXLCZ)99371000000026965620141030d2015 u| 0engur|n|---|||||txtccrComputer Vision in Control Systems-2 Innovations in Practice /edited by Margarita N. Favorskaya, Lakhmi C. Jain1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (307 p.)Intelligent Systems Reference Library,1868-4394 ;75Description based upon print version of record.3-319-11429-8 Includes bibliographical references at the end of each chapters.Computer Vision in Advanced Control Systems: Innovations in Practice -- Human Action Recognition: Contour-Based and Silhouette-based Approaches -- The Application of Machine Learning Techniques to Real Time Audience Analysis Sy -- Panorama Construction from Multi-view Cameras in Outdoor Scenes -- A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control -- Perception of Audio Visual Information for Mobile Robot Motion Control Systems -- Adaptive Surveillance Algorithms Based on the Situation Analysis -- Enhanced, Synthetic and Combined Vision Technologies -- Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing -- Efficient Denoising Algorithms for Intelligent Recognition Systems -- Image Segmentation Based on Two-dimensional Markov Chains.The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include: ·          Human Action Recognition: Contour-Based and Silhouette-based Approaches. ·         The Application of Machine Learning Techniques to Real Time Audience Analysis System. ·         Panorama Construction from Multi-view Cameras in Outdoor Scenes. ·         A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control. ·         Perception of Audio Visual Information for Mobile Robot Motion Control Systems. ·         Adaptive Surveillance Algorithms Based on the Situation Analysis. ·         Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation. ·         Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing. ·         Efficient Denoising Algorithms for Intelligent Recognition Systems. ·         Image Segmentation Based on Two-dimensional Markov Chains. The book is directed to the PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.Intelligent Systems Reference Library,1868-4394 ;75Computational intelligenceArtificial intelligenceAutomatic controlComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Control and Systems Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/T19010Computational intelligence.Artificial intelligence.Automatic control.Computational Intelligence.Artificial Intelligence.Control and Systems Theory.006.3620629.8Favorskaya Margarita Nedthttp://id.loc.gov/vocabulary/relators/edtJain Lakhmi Cedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910299662403321Computer Vision in Control Systems-21412439UNINA