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010   $a1-280-76757-X
010   $a9786613678348
010   $a0-470-97438-9
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035   $a(OCoLC)700706048
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100   $a20100708d2010      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aVideo tracking$b[electronic resource] $etheory and practice /$fEmilio Maggio, Andrea Cavallaro
210   $aChichester, West Sussex, UK ;$aHoboken, NJ $cWiley$d2010
215   $a1 online resource (294 p.)
300   $aDescription based upon print version of record.
311   $a0-470-74964-4 
320   $aIncludes bibliographical references and index.
327   $aVIDEO TRACKING; Contents; Foreword; About the authors; Preface; Acknowledgements; Notation; Acronyms; 1 What is video tracking?; 2 Applications; 3 Feature extraction; 4 Target representation; 5 Localisation; 6 Fusion; 7 Multi-target management; 8 Context modeling; 9 Performance evaluation; Epilogue; Further reading; Appendix A Comparative results; Index
330   $aVideo Tracking provides a comprehensive treatment of the fundamental aspects of algorithm and application development for the task of estimating, over time, the position of objects of interest seen through cameras. Starting from the general problem definition and a review of existing and emerging video tracking applications, the book discusses popular methods, such as those based on correlation and gradient-descent. Using practical examples, the reader is introduced to the advantages and limitations of deterministic approaches, and is then guided toward more advanced video tracking solu
606   $aVideo surveillance
606   $aAutomatic tracking
615  0$aVideo surveillance.
615  0$aAutomatic tracking.
676   $a621.389/28
676   $a621.38928
700   $aMaggio$b Emilio$0743434
701   $aCavallaro$b Andrea$0946277
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910139392003321
996   $aVideo tracking$92137918
997   $aUNINA