000 | 03808nam a22005895i 4500 | ||
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001 | 978-981-16-6242-3 | ||
003 | DE-He213 | ||
005 | 20240423125509.0 | ||
007 | cr nn 008mamaa | ||
008 | 211118s2021 si | s |||| 0|eng d | ||
020 |
_a9789811662423 _9978-981-16-6242-3 |
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024 | 7 |
_a10.1007/978-981-16-6242-3 _2doi |
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050 | 4 | _aTA1634 | |
072 | 7 |
_aUYQV _2bicssc |
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_aCOM016000 _2bisacsh |
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072 | 7 |
_aUYQV _2thema |
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082 | 0 | 4 |
_a006.37 _223 |
100 | 1 |
_aXing, Weiwei. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aVisual Object Tracking from Correlation Filter to Deep Learning _h[electronic resource] / _cby Weiwei Xing, Weibin Liu, Jun Wang, Shunli Zhang, Lihui Wang, Yuxiang Yang, Bowen Song. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2021. |
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300 |
_aXIV, 193 p. 125 illus., 84 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aIntroduction -- Algorithm Foundations -- Correlation Filter Based Visual Object Tracking -- Correlation Filter with Deep Feature for Visual Object Tracking -- Deep Learning Based Visual Object Tracking -- Summary and Future Work. | |
520 | _aThe book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields. | ||
650 | 0 | _aComputer vision. | |
650 | 0 |
_aImage processing _xDigital techniques. |
|
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aComputer Vision. |
650 | 2 | 4 | _aComputer Imaging, Vision, Pattern Recognition and Graphics. |
650 | 2 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aLiu, Weibin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aWang, Jun. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aZhang, Shunli. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aWang, Lihui. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aYang, Yuxiang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aSong, Bowen. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811662416 |
776 | 0 | 8 |
_iPrinted edition: _z9789811662430 |
776 | 0 | 8 |
_iPrinted edition: _z9789811662447 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-16-6242-3 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c178577 _d178577 |