LEADER 03264nam 22005415 450 001 9910841867403321 005 20240223132652.0 010 $a9789819991914 024 7 $a10.1007/978-981-99-9191-4 035 $a(CKB)30597439600041 035 $a(MiAaPQ)EBC31201126 035 $a(Au-PeEL)EBL31201126 035 $a(DE-He213)978-981-99-9191-4 035 $a(EXLCZ)9930597439600041 100 $a20240223d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHigh-Orders Motion Analysis $eComputer Vision Methods /$fby Yan Sun 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (90 pages) 311 08$a9789819991907 320 $aIncludes bibliographical references. 327 $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. 330 $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. 606 $aPattern recognition systems 606 $aImage processing 606 $aComputer vision 606 $aAutomated Pattern Recognition 606 $aImage Processing 606 $aComputer Vision 615 0$aPattern recognition systems. 615 0$aImage processing. 615 0$aComputer vision. 615 14$aAutomated Pattern Recognition. 615 24$aImage Processing. 615 24$aComputer Vision. 676 $a006.37 700 $aSun$b Yan$0690256 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910841867403321 996 $aHigh-Orders Motion Analysis$94140080 997 $aUNINA