Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems

• Главный автор: Faion, Florian (auth)
• Формат: Электронный ресурс Глава книги
• Язык: английский
• Опубликовано: KIT Scientific Publishing 2016
• Серии: Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
• Предметы: Technology: general issues; Tracking Bayesschätzer Microsoft Kinect Formschätzung Partial LikelihoodTracking Bayesian Estimation Microsoft Kinect Shape Fitting Partial Likelihood
• Online-ссылка: DOAB: download the publication; DOAB: description of the publication

We discuss theory and application of extended object tracking. This task is challenging as sensor noise prevents a correct association of the measurements to their sources on the object, the shape itself might be unknown a priori, and due to occlusion effects, only parts of the object are visible at...