Evaluation and Fair Comparison of Human Tracking Methods with PTZ Cameras

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• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9179
• 期：1
• 页码：153-161
• 全文大小：506 KB
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• 作者单位：Alparslan Yildiz (15)
  Noriko Takemura (15)
  Yoshio Iwai (16)
  Kosuke Sato (15)
  
  15. Osaka University, 1鈥? Machikaneyamacho, Toyonaka-shi Osaka, 560-8531, Japan
  16. Tottori University, 4-101 Koyamacho-minami, Tottori-shi Tottori, 680-0945, Japan
  
• 丛书名：Virtual, Augmented and Mixed Reality
• ISBN：978-3-319-21067-4
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Evaluation and comparison of methods, repeatability of experiments, and availability of data are the dynamics driving science forward. In computer vision, a database with ground-truth information enables fair comparison and facilitates rapid improvement of methods in a particular topic. Being a high-level discipline, Human-Computer Interaction (HCI) systems rises on numerous computer vision building blocks, including eye-gaze localization, human localization, action recognition, behavior analysis etc. using mostly active systems employing lasers, projectors, infrared scanners, pan-tilt-zoom cameras and other various active sensors. In this research, we focus on fair comparison of human tracking methods with active (PTZ) cameras. Although there are databases on human tracking, no specific database is available for active (pan-tilt-zoom) camera human tracking. This is because active camera experiments are not repeatable, as camera views depend on previous decisions made by the system. Here, we address the above problem of systematical evaluation of active camera tracking methods and present a survey of their performances.