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020 _a9789819991914
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024 7 _a10.1007/978-981-99-9191-4
_2doi
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050 4 _aTK7882.P3
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072 7 _aCOM016000
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_223
100 1 _aSun, Yan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_998196
245 1 0 _aHigh-Orders Motion Analysis
_h[electronic resource] :
_bComputer Vision Methods /
_cby Yan Sun.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aIX, 85 p. 53 illus., 43 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aOverview of this Book -- Describing Motion in Computer Images Stream: Optical Flow -- Analyzing Acceleration in Computer Images Stream -- Jerk and Higher Order Motion in Computer Image Streams -- Detecting Heel Strikes for Gait Analysis through Higher-order motion Flow -- More Potential Applications via Higher-order Motion.
520 _aThis book shows how different types of motion can be disambiguated into their components in a richer way than that currently possible in computer vision. Previous research of motion analysis has generally not yet considered the basic nature of higher orders of motion such as acceleration. Hence, this book introduces an approximation of the acceleration field using established optical flow techniques. Further, acceleration is decomposed into radial and tangential based on geometry and propagated as a general motion descriptor; this book shows the capability for differentiating different types of motion both on synthesized data and real image sequences. Beyond acceleration, the higher orders of motion flow and their continuant parts are investigated for further revealing the chaotic motion fields. Naturally, it is possible to extend this notion further: to detect higher orders of image motion. In this respect, this book shows how jerk and snap can be obtained from image sequences. The derived results on test images and heel strike detection in gait analysis illustrate the ability of higher-order motion, which provide the basis for the following research and applications in the future. We hope that the publication of this book will bring a new perspective to researchers and graduate students in the field of video analysis in computer vision.
650 0 _aPattern recognition systems.
_93953
650 0 _aImage processing.
_97417
650 0 _aComputer vision.
_998197
650 1 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aImage Processing.
_97417
650 2 4 _aComputer Vision.
_998199
710 2 _aSpringerLink (Online service)
_998201
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819991907
776 0 8 _iPrinted edition:
_z9789819991921
776 0 8 _iPrinted edition:
_z9789819991938
856 4 0 _uhttps://doi.org/10.1007/978-981-99-9191-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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