03493nam a22005295i 4500 978-981-99-9191-4 DE-He213 20251030111441.0 cr nn 008mamaa 240223s2024 si | s |||| 0|eng d 9789819991914 978-981-99-9191-4 10.1007/978-981-99-9191-4 doi Q337.5 TK7882.P3 UYQP bicssc COM016000 bisacsh UYQP thema Sun, Yan. author. aut http://id.loc.gov/vocabulary/relators/aut 71655 High-Orders Motion Analysis [electronic resource] : Computer Vision Methods / by Yan Sun. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. IX, 85 p. 53 illus., 43 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Overview 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. This 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. Pattern recognition systems. 65547 Image processing. Computer vision. Automated Pattern Recognition. 65551 Image Processing. Computer Vision. SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819991907 Printed edition: 9789819991921 Printed edition: 9789819991938 https://doi.org/10.1007/978-981-99-9191-4 ZDB-2-SCS ZDB-2-SXCS 57845 57845