LEADER 00821nam0-22003011i-450- 001 990002065960403321 005 20021010 035 $a000206596 035 $aFED01000206596 035 $a(Aleph)000206596FED01 035 $a000206596 100 $a20021010d--------km-y0itay50------ba 101 0 $aita 200 1 $aAudubon's American Birds$fJ.J. Audubon 210 $aLondon$cB.T. Batsford$d1949 215 $a12p.$d16 tv.$d24 cm 300 $aIntroduzione e note alle tavole di Sacherwell Sitwell 610 0 $aUccelli 676 $a598.28 700 1$aAudubon,$bJohn James$088266 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002065960403321 952 $a61 XIV A.7/66$b2374$fDAGEN 959 $aDAGEN 996 $aAudubon's American Birds$9393657 997 $aUNINA DB $aING01 LEADER 04089nam 22007455 450 001 9910299854403321 005 20200701075936.0 010 $a3-319-11325-9 024 7 $a10.1007/978-3-319-11325-8 035 $a(CKB)3710000000281281 035 $a(EBL)1967673 035 $a(OCoLC)895661066 035 $a(SSID)ssj0001386259 035 $a(PQKBManifestationID)11817441 035 $a(PQKBTitleCode)TC0001386259 035 $a(PQKBWorkID)11350211 035 $a(PQKB)11642349 035 $a(DE-He213)978-3-319-11325-8 035 $a(MiAaPQ)EBC1967673 035 $a(PPN)183093771 035 $a(EXLCZ)993710000000281281 100 $a20141113d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aOn Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities /$fby Jens Spehr 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (210 p.) 225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v11 300 $aDescription based upon print version of record. 311 $a3-319-11324-0 320 $aIncludes bibliographical references. 327 $aIntroduction -- Probabilistic Graphical Models -- Hierarchical Graphical Models -- Learning of Hierarchical Models.-Object Recognition -- Human Pose Estimation -- Scene Understanding for Intelligent Vehicles -- Conclusion. 330 $aIn many computer vision applications, objects have to be learned and recognized in images or image sequences. This book presents new probabilistic hierarchical models that allow an efficient representation of multiple objects of different categories, scales, rotations, and views. The idea is to exploit similarities between objects and object parts in order to share calculations and avoid redundant information. Furthermore inference approaches for fast and robust detection are presented. These new approaches combine the idea of compositional and similarity hierarchies and overcome limitations of previous methods. Besides classical object recognition the book shows the use for detection of human poses in a project for gait analysis. The use of activity detection is presented for the design of environments for ageing, to identify activities and behavior patterns in smart homes. In a presented project for parking spot detection using an intelligent vehicle, the proposed approaches are used to hierarchically model the environment of the vehicle for an efficient and robust interpretation of the scene in real-time. 410 0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v11 606 $aRobotics 606 $aAutomation 606 $aComputational intelligence 606 $aOptical data processing 606 $aPattern perception 606 $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aRobotics. 615 0$aAutomation. 615 0$aComputational intelligence. 615 0$aOptical data processing. 615 0$aPattern perception. 615 14$aRobotics and Automation. 615 24$aComputational Intelligence. 615 24$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 676 $a006.3 676 $a006.37 676 $a006.4 676 $a006.6 700 $aSpehr$b Jens$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720650 906 $aBOOK 912 $a9910299854403321 996 $aOn Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities$91412416 997 $aUNINA