Real-time Tracking of Handheld Object from Color or Depth Images

Object tracking during rehabilitation could help a therapist to evaluate a patient's movement and progress. Hence, we present an image-based method for real-time tracking of handheld objects due to its ease of use and availability of color or depth cameras. We use an efficient projective point...

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Bibliographic Details
Main Authors: Lim, Guan Ming, Jatesiktat, Prayook, Ang, Wei Tech
Format: Conference Proceeding
Language:English
Subjects:
Biology
Cameras
Color
Humans
Image color analysis
Movement
Object tracking
Real-time systems
Synthetic data
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Summary:Object tracking during rehabilitation could help a therapist to evaluate a patient's movement and progress. Hence, we present an image-based method for real-time tracking of handheld objects due to its ease of use and availability of color or depth cameras. We use an efficient projective point correspondence method and generalize the use of precomputed spare viewpoint information to allow real-time tracking of a rigid object. The method runs at more than 30 fps on a CPU while achieving submillimeter accuracy on synthetic datasets and robust tracking on a semi-synthetic dataset.Clinical relevance Real-time, accurate, and robust tracking of an object using an image-based method is a promising tool for rehabilitation applications as it is practical for clinical settings.
ISSN:2694-0604
DOI:10.1109/EMBC40787.2023.10341147