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001 978-1-4614-6534-8
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005 20200421111657.0
007 cr nn 008mamaa
008 130326s2013 xxu| s |||| 0|eng d
020 _a9781461465348
_9978-1-4614-6534-8
024 7 _a10.1007/978-1-4614-6534-8
_2doi
050 4 _aQA76.575
072 7 _aUG
_2bicssc
072 7 _aCOM034000
_2bisacsh
082 0 4 _a006.7
_223
100 1 _aKarasulu, Bahadir.
_eauthor.
245 1 0 _aPerformance Evaluation Software
_h[electronic resource] :
_bMoving Object Detection and Tracking in Videos /
_cby Bahadir Karasulu, Serdar Korukoglu.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXV, 76 p. 11 illus.
_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 -- Moving Object Detection and Tracking in Videos -- A Software Approach to Performance Evaluation -- Performance Measures and Evaluation -- A Case Study: People Detection and Tracking in Videos -- Conclusion.
520 _aPerformance Evaluation Software: Moving Object Detection and Tracking in Videos introduces a software approach for the real-time evaluation and performance comparison of the methods specializing in moving object detection and/or tracking (D&T) in video processing. Digital video content analysis is an important item for multimedia content-based indexing (MCBI), content-based video retrieval (CBVR) and visual surveillance systems. There are some frequently-used generic algorithms for video object D&T in the literature, such as Background Subtraction (BS), Continuously Adaptive Mean-shift (CMS), Optical Flow (OF), etc. An important problem for performance evaluation is the absence of any stable and flexible software for comparison of different algorithms. In this frame, we have designed and implemented the software for comparing and evaluating the well-known video object D&T algorithms on the same platform. This software is able to compare them with the same metrics in real-time and on the same platform. It also works as an automatic and/or semi-automatic test environment in real-time, which uses the image and video processing essentials, e.g. morphological operations and filters, and ground-truth (GT) XML data files, charting/plotting capabilities, etc. Along with the comprehensive literature survey of the abovementioned video object D&T algorithms, this book also covers the technical details of our performance benchmark software as well as a case study on people D&T for the functionality of the software.
650 0 _aComputer science.
650 0 _aMultimedia information systems.
650 0 _aUser interfaces (Computer systems).
650 1 4 _aComputer Science.
650 2 4 _aMultimedia Information Systems.
650 2 4 _aUser Interfaces and Human Computer Interaction.
700 1 _aKorukoglu, Serdar.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461465331
830 0 _aSpringerBriefs in Computer Science,
_x2191-5768
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-6534-8
912 _aZDB-2-SCS
942 _cEBK
999 _c54780
_d54780