MARC Record from harvard_bibliographic_metadata

LEADER: 03063nam a22005055a 4500
001 014199190-9
005 20141107200420.0
008 140927s2014 gw | s ||0| 0|eng d
020 $a9783319115351
020 $a9783319115351
020 $a9783319115344
024 7 $a10.1007/978-3-319-11535-1$2doi
035 $a(Springer)9783319115351
040 $aSpringer
050 4 $aT385
050 4 $aTA1637-1638
050 4 $aTK7882.P3
072 7 $aUYQV$2bicssc
072 7 $aCOM016000$2bisacsh
082 04 $a006.6$223
100 1 $aČolić, Aleksandar,$eauthor.
245 10 $aDriver Drowsiness Detection :$bSystems and Solutions /$cby Aleksandar Čolić, Oge Marques, Borko Furht.
264 1 $aCham :$bSpringer International Publishing :$bImprint: Springer,$c2014.
300 $aIX, 50 p. 16 illus., 15 illus. in color.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
490 1 $aSpringerBriefs in Computer Science,$x2191-5768
505 0 $aIntroduction -- Driver Drowsiness Detection and Measurement Methods -- Commercial Solutions -- Research Aspects -- Examples.
520 $aThis SpringerBrief presents the fundamentals of driver drowsiness detection systems, provides examples of existing products, and offers guides for practitioners interested in developing their own solutions to the problem. Driver drowsiness causes approximately 7% of all road accidents and up to 18% of fatal collisions. Proactive systems that are capable of preventing the loss of lives combine techniques, methods, and algorithms from many fields of engineering and computer science such as sensor design, image processing, computer vision, mobile application development, and machine learning which is covered in this brief. The major concepts addressed in this brief are: the need for such systems, the different methods by which drowsiness can be detected (and the associated terminology), existing commercial solutions, selected algorithms and research directions, and a collection of examples and case studies. These topics equip the reader to understand this critical field and its applications. Detection Systems and Solutions: Driver Drowsiness is an invaluable resource for researchers and professionals working in intelligent vehicle systems and technologies. Advanced-level students studying computer science and electrical engineering will also find the content helpful.
650 24 $aArtificial Intelligence (incl. Robotics)
650 20 $aMultimedia systems.
650 10 $aComputer science.
650 0 $aComputer science.
650 0 $aMultimedia systems.
650 0 $aArtificial intelligence.
650 0 $aComputer vision.
650 24 $aComputer Imaging, Vision, Pattern Recognition and Graphics.
700 1 $aFurht, Borko,$eauthor.
700 1 $aMarques, Oge,$eauthor.
776 08 $iPrinted edition:$z9783319115344
830 0 $aSpringerBriefs in Computer Science.
988 $a20141002
906 $0VEN