LEADER 03229oam 22006135 450 001 9910500586903321 005 20250628110036.0 010 $a981-16-4578-7 024 7 $a10.1007/978-981-16-4578-5 035 $a(CKB)5360000000050079 035 $aEBL6725199 035 $a(OCoLC)1313891518 035 $a(AU-PeEL)EBL6725199 035 $a(MiAaPQ)EBC6725199 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/72027 035 $a(DE-He213)978-981-16-4578-5 035 $a(ODN)ODN0010073544 035 $a(oapen)doab72027 035 $a(EXLCZ)995360000000050079 100 $a20210911d2022 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSexual and reproductive health and rights in India $eself-care for universal health coverage /$fSaroj Pachauri, Ash Pachauri, Komal Mittal 205 $a1st ed. 2022. 210 $d2021 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (97 pages) 225 1 $aSpringerBriefs in Public Health,$x2192-3701 300 $aDescription based upon print version of record. 311 0 $a981-16-4577-9 327 $aSelf-care: Concept, Rationale and Framework -- Men Who have Sex with Men -- Understanding Health needs of Transgender -- The Gender Trap: Issues and Evidence -- Female Sex Work Dynamics: Empowerment, Mobilization, Mobility -- Sexual Behaviors of Long Distance Truck Drivers -- The Way Forward. 330 $aThis open access book addresses self-care on sexual and reproductive health and rights and HIV prevention and treatment in the most marginalized and vulnerable communities. Case studies and personal narratives are used to share their perspectives and experiences, sources of information for self-care products, motivations for self-care, and challenges and outcomes. Self-care provides the way to reach the last mile in achieving universal health coverage and the Sustainable Development Goals. Issues related to stigma, discrimination and violence among these communities are highlighted. Changes in policies and programs to improve their sexual and reproductive health, education and employment are discussed. The last chapter in the book examines how the agenda on self-care can be advanced in the years ahead. The audience for this publication includes health professionals, researchers, those managing health institutions and service providers. 410 0$aSpringerBriefs in Public Health,$x2192-3701 606 $aReproductive health$zIndia 606 $aSelf-care, Health$zIndia 606 $aSexual health$zIndia 615 0$aReproductive health 615 0$aSelf-care, Health 615 0$aSexual health 676 $a613.04 686 $aHEA039060$aMED078000$aSOC032000$2bisacsh 700 $aPachauri$b Saroj$f1936-$01238492 701 $aPachauri$b Ash$01238493 701 $aMittal$b Komal$01238494 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910500586903321 996 $aSexual and Reproductive Health and Rights in India$92874263 997 $aUNINA LEADER 05025nam 22008415 450 001 9910878978103321 005 20251103093322.0 010 $a9789819730230 024 7 $a10.1007/978-981-97-3023-0 035 $a(CKB)33734460900041 035 $a(MiAaPQ)EBC31588400 035 $a(Au-PeEL)EBL31588400 035 $a(DE-He213)978-981-97-3023-0 035 $a(EXLCZ)9933734460900041 100 $a20240806d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnomaly Detection in Video Surveillance /$fby Xiaochun Wang 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (396 pages) 225 1 $aCognitive Intelligence and Robotics,$x2520-1964 311 08$a9789819730223 320 $aIncludes bibliographical references. 327 $aChapter 1 Introduction -- Chapter 2 Mathematical Preliminaries for Video Anomaly Detection Techniques -- Chapter 3 Probability Based Video Anomaly Detection Approaches -- Chapter 4 k-Nearest Neighbor Based Video Anomaly Detection Approaches -- Chapter 5 Gaussian Mixture Model Based Video Anomaly Detection. 330 $aAnomaly detection in video surveillance stands at the core of numerous real-world applications that have broad impact and generate significant academic and industrial value. The key advantage of writing the book at this point in time is that the vast amount of work done by computer scientists over the last few decades has remained largely untouched by a formal book on the subject, although these techniques significantly advance existing methods of image and video analysis and understanding by taking advantage of anomaly detection in the data mining community and visual analysis in the computer vision community. The proposed book provides a comprehensive coverage of the advances in video based anomaly detection, including topics such as the theories of anomaly detection and machine perception for the functional analysis of abnormal events in general, the identification of abnormal behaviour and crowd abnormal behaviour in particular, the current understanding of computer vision development, and the application of this present understanding towards improving video-based anomaly detection in theory and coding with OpenCV. The book also provides a perspective on deep learning on human action recognition and behaviour analysis, laying the groundwork for future advances in these areas. Overall, the chapters of this book have been carefully organized with extensive bibliographic notes attached to each chapter. One of the goals is to provide the first systematic and comprehensive description of the range of data-driven solutions currently being developed up to date for such purposes. Another is to serve a dual purpose so that students and practitioners can use it as a textbook while researchers can use it as a reference book. A final goal is to provide a comprehensive exposition of the topic of anomaly detection in video media from multiple points of view. 410 0$aCognitive Intelligence and Robotics,$x2520-1964 606 $aComputer vision 606 $aData mining 606 $aImage processing$xDigital techniques 606 $aMachine learning 606 $aPattern recognition systems 606 $aComputer science 606 $aComputer Vision 606 $aData Mining and Knowledge Discovery 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aMachine Learning 606 $aAutomated Pattern Recognition 606 $aTheory and Algorithms for Application Domains 606 $aVisiķ per ordinador$2thub 606 $aMineria de dades$2thub 606 $aAprenentatge automātic$2thub 606 $aProcessament digital d'imatges$2thub 606 $aReconeixement de formes (Informātica)$2thub 608 $aLlibres electrōnics$2thub 615 0$aComputer vision. 615 0$aData mining. 615 0$aImage processing$xDigital techniques. 615 0$aMachine learning. 615 0$aPattern recognition systems. 615 0$aComputer science. 615 14$aComputer Vision. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aMachine Learning. 615 24$aAutomated Pattern Recognition. 615 24$aTheory and Algorithms for Application Domains. 615 7$aVisiķ per ordinador 615 7$aMineria de dades 615 7$aAprenentatge automātic 615 7$aProcessament digital d'imatges 615 7$aReconeixement de formes (Informātica) 676 $a621.38928 700 $aWang$b Xiaochun$f1954-$01772060 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910878978103321 996 $aAnomaly Detection in Video Surveillance$94271047 997 $aUNINA