High-Orders Motion Analysis: Computer Vision Methods
Sun, Yan
- 出版商: Springer
- 出版日期: 2024-02-24
- 售價: $6,120
- 貴賓價: 9.5 折 $5,814
- 語言: 英文
- 頁數: 85
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9819991900
- ISBN-13: 9789819991907
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相關分類:
Computer Vision
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.
商品描述(中文翻譯)
這本書展示了如何以比電腦視覺目前能夠實現的方式更豐富地將不同類型的運動分解成其組成部分。
先前的運動分析研究通常尚未考慮到加速度等更高階運動的基本特性。因此,本書介紹了使用已建立的光流技術來近似加速度場。此外,根據幾何學,將加速度分解為徑向和切向,並作為一種通用的運動描述符傳播;本書展示了在合成數據和真實圖像序列上區分不同類型運動的能力。
除了加速度,本書還研究了更高階運動流及其持續部分,以進一步揭示混亂的運動場。自然地,可以進一步擴展這個概念:檢測更高階的圖像運動。在這方面,本書展示了如何從圖像序列中獲取加速度變化率和加速度變化率的變化率。在測試圖像和步態分析中的腳跟觸地檢測方面的衍生結果,說明了更高階運動的能力,為未來的研究和應用奠定了基礎。
我們希望這本書的出版能為視覺計算領域的研究人員和研究生帶來新的視角。
作者簡介
Yan Sun is an assistant professor in the School of Computer Engineering and Science, Shanghai University, China. She obtained her Ph.D. degree in 2018 from the University of Southampton, UK, under the supervision of Professor Mark Nixon and Professor Jonathon Hare.
She received Shanghai Pujiang Program in 2020. She has managed 1 National Natural Science Foundation Project in 2021 and participated in National High-tech Programs and MIIT Special Program for Ships as a key researcher. She has hosted the IEEE-WIE at the 15th Chinese Conference on Biometrics Recognition.
Her research interests mainly focus on computer vision, image processing, analyzing different types of motion in videos, including gait analysis, action recognition, object tracking, etc. Currently, she has published nearly 20 peer-reviewed articles in top journals and conferences, including Pattern Recognition and other top journals and conferences.
作者簡介(中文翻譯)
孫燕是中國上海大學計算機工程與科學學院的助理教授。她於2018年在英國南安普敦大學獲得博士學位,指導教授為Mark Nixon教授和Jonathon Hare教授。
她於2020年獲得上海浦江人才計劃。她在2021年主持了一項國家自然科學基金項目,並參與了國家高技術計劃和工業和信息化部船舶特殊計劃作為主要研究人員。她主持了第15屆中國生物識別會議上的IEEE-WIE活動。
她的研究興趣主要集中在計算機視覺、圖像處理以及分析視頻中不同類型的運動,包括步態分析、動作識別、物體跟踪等。目前,她已在頂級期刊和會議上發表了近20篇同行評審的文章,包括《模式識別》和其他頂級期刊和會議。