Object Tracking Technology: Trends, Challenges and Applications
暫譯: 物體追蹤技術：趨勢、挑戰與應用

Name: Object Tracking Technology: Trends, Challenges and Applications
Price: 4218 TWD
Availability: OnlineOnly
Author: Kumar, Ashish, Jain, Rachna, Vairamani, Ajantha Devi
ISBN: 9819932904

Kumar, Ashish, Jain, Rachna, Vairamani, Ajantha Devi

出版商: Springer
出版日期: 2024-09-27
售價: $4,440
貴賓價: 9.5 折 $4,218
語言: 英文
頁數: 274
裝訂: Quality Paper - also called trade paper
ISBN: 9819932904
ISBN-13: 9789819932900

海外代購書籍(需單獨結帳)

商品描述

With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In contrast to single object tracking, multi-target introduces one extra step of detection. Tracking multi-target includes detecting and categorizing the target into multiple classes in the first frame and provides each individual target an ID to keep its track in the subsequent frames of a video stream. One category of multi-target algorithms exploits global information to track the target of the detected target. On the other hand, some algorithms consider present and past information of the target to provide efficient tracking solutions. Apart from these, deep leaning-based algorithms provide reliable and accurate solutions. But, these algorithms are computationally slow when applied in real-time. This book presents and summarizes the various visual tracking algorithms and challenges in the domain. The various feature that can be extracted from the target and target saliency prediction is also covered. It explores a comprehensive analysis of the evolution from traditional methods to deep learning methods, from single object tracking to multi-target tracking. In addition, the application of visual tracking and the future of visual tracking can also be introduced to provide the future aspects in the domain to the reader. This book also discusses the advancement in the area with critical performance analysis of each proposed algorithm. This book will be formulated with intent to uncover the challenges and possibilities of efficient and effective tracking of single or multi-object, addressing the various environmental and hardware challenges.
The intended audience includes academicians, engineers, postgraduate students, developers, professionals, military personals, scientists, data analysts, practitioners, and people who are interested in exploring more about tracking.- Another projected audience are the researchers and academicians who identify and develop methodologies, frameworks, tools, and applications through reference citations, literature reviews, quantitative/qualitative results, and discussions.

商品描述(中文翻譯)

隨著城市人口的增加，追蹤感興趣物體變得必要。為了支持可持續智慧城市的可持續發展目標（SDGs），隨著技術的進步，視覺追蹤擴展到追蹤場景中存在的多個目標，而不僅僅是估計單一目標的位置。與單一物體追蹤相比，多目標追蹤引入了一個額外的檢測步驟。多目標追蹤包括在第一幀中檢測並將目標分類為多個類別，並為每個單獨的目標提供一個ID，以便在視頻流的後續幀中保持其追蹤。一類多目標算法利用全局信息來追蹤已檢測到的目標。另一方面，一些算法考慮目標的當前和過去信息，以提供高效的追蹤解決方案。除此之外，基於深度學習的算法提供可靠且準確的解決方案。然而，這些算法在實時應用時計算速度較慢。本書介紹並總結了該領域各種視覺追蹤算法及其挑戰。還涵蓋了可以從目標中提取的各種特徵以及目標顯著性預測。它探討了從傳統方法到深度學習方法、從單一物體追蹤到多目標追蹤的演變的綜合分析。此外，視覺追蹤的應用及其未來也可以介紹，以向讀者提供該領域的未來展望。本書還討論了該領域的進展，並對每個提出的算法進行了關鍵性能分析。本書的目的是揭示單一或多物體高效且有效追蹤的挑戰和可能性，並解決各種環境和硬體挑戰。

預期的讀者包括學者、工程師、研究生、開發人員、專業人士、軍事人員、科學家、數據分析師、實踐者以及對追蹤技術感興趣的人士。另一個預期的讀者群是那些通過參考文獻、文獻回顧、定量/定性結果和討論來識別和開發方法論、框架、工具和應用的研究人員和學者。

作者簡介

Dr. Ashish Kumar, Ph.D., is working as an assistant professor with Bennett University, Greater Noida, U.P., India. He has completed his Ph.D. in computer science and engineering from Delhi Technological University (formerly DCE), New Delhi, India in 2020. He has received best researcher award from the Delhi Technological University for his contribution in the computer vision domain. He has completed M.Tech in computer Science and engineering from GGS Indraprastha University, New Delhi. He has published many research papers in various reputed national and international journals and conferences. His current research interests include object tracking, image processing, artificial intelligence, and medical imaging analysis.

Dr. Rachna Jain, currently working as Associate Professor (IT Department) in Bhagwan Parshuram Institute of Technology (GGSIPU) since Aug 2021. She did her PHD from Banasthali Vidyapith (Computer Science) in 2017.She received ME degree in year 2011 fromDelhi college of engineering (Delhi University) with specialization in Computer Technology and Applications. Her current research interests are Cloud Computing, Fuzzy Logic, Network and information security, Swarm Intelligence, Big Data and IoT, Deep Learning and Machine Learning. She has contributed with more than 20 book chapters in various books. She has also served as Session Chair in various International Conferences. She completed DST Project titled "Design an autonomous intelligent drone for city surveillance" as CO-PI. A total of 16+ Years of Academic / Research Experience with more than 100+ Publications in various National, International Conferences cum International Journals (Scopus/ISI/SCI) of High Repute.

Dr. V. Ajantha Devi is working as a Research head in AP3 Solutions, Chennai, Tamil Nadu, India. She received her PhD from University of Madras in 2015. She has worked as Project Fellow under UGC Major Research Project. She is a Senior Member of IEEE. She has been certified as "Microsoft Certified Application Developer" (MCAD) and "Microsoft Certified Technical Specialist" (MCTS) from Microsoft Corp. She has more than 40 papers in international journals and conference proceedings to her credit. She has written, co-authored, and edited a number of books in the field of Computer science with international and national publishers like Elsevier, Springer., etc. Associated as a member of the Program Committee/Technical Committee/ Chair/ Review Board for a variety of international conferences. She has five Australian Patents and one Indian Patent to her credit in the area of Artificial Intelligence, Image Processing and Medical Imaging. Her work in Image Processing, Signal Processing, Pattern Matching, and Natural Language Processing is based on artificial intelligence, machine learning, and deep learning techniques. She has won many Best paper presentation awards as well as a few research-oriented international awards.

Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 125+ Professional certificates from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 150+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor Journals cum Scopus/ESCI indexed Journals, 70+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 40+ Book Chapters in various SCOPUS/WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: 9000+, H-Index: 50 and I-Index: 175. Member of morethan 60+ Associations as Senior and Life Member including IEEE, ACM. He has authored/co-authored cum Edited 50+ Books of Computer Science. Associated with more than 500+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 18 Australian Patents, 4 German Patents, 2 Japanese Patents, 11 Indian Design cum Utility Patents, 1 USA Patent, 3 Indian Copyrights and 2 Canadian Copyrights to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT and Image Processing. Awarded 39 Awards for Teaching and Research--Young Scientist, Best Scientist, Best Senior Scientist, Asia Top 50 Academicians and Researchers, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching, Best Senior Scientist Award, DTU Best Professor and Researcher Award- 2019, 2020-2021, 2022 and many more. He is listed in Top 2% Scientists as per Stanford University (2020,2021, 2022). He has been indexed in Research.com (D-Index: 31 and Viet Nam Rank:2) in area of Computer Science. He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Frontiers in Computer Science, PeerJ Computer Science, Human Centric Computing and Information Sciences (HCIS), Tech Science Press- CSSE, IASC, IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI, IJGC, IJSIR. He is acting as Editor-in-Chief of IGI-Global, USA Journal titled "International Journal of Smart Vehicles and Smart Transportation (IJSVST)". He has reviewed more than 4000+ Articles for diverse Web of Science and Scopus Indexed Journals. He is currently researching in the area of Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Healthcare Informatics, Big Data and Wireless Communications.

作者簡介(中文翻譯)

阿希什·庫馬博士（Dr. Ashish Kumar），哲學博士，現任印度大諾伊達的班奈特大學助理教授。他於2020年在印度新德里的德里科技大學（Delhi Technological University，前身為DCE）完成計算機科學與工程的博士學位。他因在計算機視覺領域的貢獻而獲得德里科技大學的最佳研究者獎。他在新德里GGS印德拉普拉斯大學（GGS Indraprastha University）獲得計算機科學與工程的碩士學位（M.Tech）。他在多個國內外知名期刊和會議上發表了許多研究論文。他目前的研究興趣包括物體追蹤、影像處理、人工智慧和醫學影像分析。

拉奇娜·賈因博士（Dr. Rachna Jain），自2021年8月以來在巴格萬·帕爾修拉姆技術學院（Bhagwan Parshuram Institute of Technology，GGSIPU）擔任副教授（IT系）。她於2017年在巴納斯塔利大學（Banasthali Vidyapith）獲得計算機科學的博士學位。她於2011年在德里工程學院（Delhi College of Engineering，德里大學）獲得計算機技術與應用的碩士學位（ME）。她目前的研究興趣包括雲計算、模糊邏輯、網絡與信息安全、群體智慧、大數據與物聯網、深度學習和機器學習。她在多本書籍中貢獻了超過20章的書籍章節，並在多個國際會議中擔任會議主席。她作為共同首席研究員完成了名為「設計一個用於城市監控的自主智能無人機」的DST項目。擁有超過16年的學術/研究經驗，並在各類國內外會議及國際期刊（Scopus/ISI/SCI）上發表了超過100篇論文。

V. 阿詹塔·德維博士（Dr. V. Ajantha Devi）目前在印度泰米爾納德邦的AP3 Solutions擔任研究主管。她於2015年在馬德拉斯大學獲得博士學位。她曾在UGC重大研究項目下擔任項目研究員。她是IEEE的高級會員。她獲得了微軟公司頒發的「微軟認證應用開發人員」（MCAD）和「微軟認證技術專家」（MCTS）資格。她在國際期刊和會議論文集中發表了超過40篇論文。她與國際和國內出版商如Elsevier、Springer等合作撰寫、共同撰寫和編輯了多本計算機科學領域的書籍。她作為各類國際會議的程序委員會/技術委員會/主席/審稿委員會成員。她在人工智慧、影像處理和醫學影像領域擁有五項澳大利亞專利和一項印度專利。她在影像處理、信號處理、模式匹配和自然語言處理方面的工作基於人工智慧、機器學習和深度學習技術。她獲得了多個最佳論文報告獎以及一些研究導向的國際獎項。

阿南德·奈亞爾博士（Dr. Anand Nayyar）於2017年在德什·巴哈特大學獲得計算機科學博士學位，研究領域為無線感測器網絡、群體智慧和網絡模擬。他目前在越南岘港的杜伊坦大學計算機科學學院擔任教授、科學家、副主席（研究）及物聯網與智能系統實驗室主任。他是一位持有125+專業證書的認證專業人士，證書來自CISCO、微軟、亞馬遜、EC-Council、Oracle、Google、Beingcert、EXIN、GAQM、Cyberoam等多個機構。他在各類高品質的ISI-SCI/SCIE/SSCI影響因子期刊及Scopus/ESCI索引期刊上發表了超過150+研究論文，在Springer、IEEE和ACM數字圖書館索引的國際會議上發表了70+篇論文，在各類SCOPUS/WEB OF SCIENCE索引的書籍中發表了40+章書籍，引用次數達到9000+，H-指數：50，I-指數：175。他是超過60個協會的高級和終身會員，包括IEEE和ACM。他撰寫/共同撰寫及編輯了50+本計算機科學書籍。他參與了超過500個國際會議，擔任程序委員會/主席/顧問委員會/審稿委員會成員。他在無線通信、人工智慧、雲計算、物聯網和影像處理領域擁有18項澳大利亞專利、4項德國專利、2項日本專利、11項印度設計及實用專利、1項美國專利、3項印度版權和2項加拿大版權。獲得了39項教學和研究獎項，包括青年科學家、最佳科學家、最佳高級科學家、亞洲前50名學者和研究人員、青年研究者獎、傑出研究者獎、卓越教學獎、最佳高級科學家獎、DTU最佳教授和研究者獎- 2019、2020-2021、2022等多項獎項。根據史丹佛大學的資料，他被列為前2%的科學家（2020、2021、2022）。他在Research.com（D-Index: 31，越南排名：2）中被索引，研究領域為計算機科學。他擔任《無線網絡》（Wireless Networks，Springer）、《計算機通信》（Computer Communications，Elsevier）、《國際感測器網絡期刊》（International Journal of Sensor Networks，IJSNET）（Inderscience）、《計算機科學前沿》（Frontiers in Computer Science）、《PeerJ計算機科學》、《以人為中心的計算與信息科學》（Human Centric Computing and Information Sciences，HCIS）、Tech Science Press-CSSE、IASC、IET-量子通信、IET無線感測器系統、IET網絡、IJDST、IJISP、IJCINI、IJGC、IJSIR的副編輯。他擔任IGI-Global美國期刊《國際智能車輛與智能交通期刊（IJSVST）》的主編。他已為各類Web of Science和Scopus索引期刊審稿超過4000篇文章。他目前的研究領域包括無線感測器網絡、物聯網、群體智慧、雲計算、人工智慧、無人機、區塊鏈、網絡安全、醫療信息學、大數據和無線通信。