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Video Object Tracking

Tasks, Datasets, and Methods

Ning Xu, Weiyao Lin, Xiankai Lu & Yunchao Wei

Video Object Tracking
Video Object Tracking

Video Object Tracking

Tasks, Datasets, and Methods

Ning Xu, Weiyao Lin, Xiankai Lu & Yunchao Wei

Hardback / bound | English
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Description

Video tracking is a key research area in computer vision and aims to track unique objects in a given video, which are useful for various applications such as video conference, video editing, surveillance, and autonomous driving.

Ning Xu, Ph.D., is a Research Scientist at Adobe Research. He received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. He was an organizer of the first and second LSVOS Challenge in ECCV 2018 and ICCV 2019. He is also an organizer for the ACM MM 2020 grand challenge “Large-scale Human-centric Video Analysis in Complex Events” and ACCV 2020 tutorial “Spatial –Temporal Parsing of Objects: From Segmentation to Actions”. His research interests include image and video segmentation.
Weiyao Lin, Ph.D. is a Professor at Shanghai Jiao Tong University. He received his B.S. and M.E. from Shanghai Jiao Tong University and Ph.D. degree from the University of Washington, all in electrical engineering.
Xiankai Lu, Ph.D., is a Research Professor at Shandong University. Prior to this role, he was a research associate with Inception Institute of Artificial Intelligence at Abu Dhabi, UAE. Dr. Lu received a B. E. from the Department of Automation at Shan Dong University.
Yunchao Wei, Ph.D, is a Professor in the Center of Digital Media Information Processing at Beijing Jiaotong University. He received his Ph.D. from Beijing Jiaotong University. His current research interests include visual recognition with imperfect data, image/video segmentation and object detection, and multi-modal perception.

Specifications

  • Publisher
    Springer International Publishing AG
  • Pub date
    Dec 2023
  • Theme
    Computer vision
  • Dimensions
    240 x 168 mm
  • EAN
    9783031446597
  • Hardback / bound
    Hardback / bound
  • Language
    English

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