Stereo 3D tracking of infants in natural play conditions
| Autor: | Helen Loeb, Laura A. Prosser, Michelle J. Johnson, Daniel K. Bogen, Phillip Bryant, Shreyas S. Shivakumar, Frances S. Shofer |
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| Rok vydání: | 2017 |
| Předmět: |
Computer science
Machine vision Movement Video Recording ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Stereoscopy Tracking (particle physics) Approximate entropy Article Standard deviation law.invention 03 medical and health sciences Imaging Three-Dimensional 0302 clinical medicine law 030225 pediatrics medicine Humans Computer vision Pose business.industry Infant Extremities Torso Pipeline (software) Play and Playthings medicine.anatomical_structure Artificial intelligence Nervous System Diseases business Algorithms 030217 neurology & neurosurgery |
| Zdroj: | ICORR |
| DOI: | 10.1109/icorr.2017.8009353 |
| Popis: | This paper describes the design and implementation of a multiple view stereoscopic 3D vision system and a supporting infant tracker pipeline to track limb movement in natural play environments and identify potential metrics to quantify movement behavior. So far, human pose estimation and tracking with 3D cameras has been focused primarily on adults and cannot be directly extended to infants because of differences in visual features such as shapes, sizes and appearance. With rehabilitation in mind, we propose a portable, compact, marker-less, low cost and high resolution 3D vision system and a tracking algorithm that exploits infant appearance attributes and depth information. This approach achieved a mean 3D tracking error of 8.21cm and a standard deviation of 8.75cm. We also identify two potential metrics for movement behavior analysis - approximate entropy and interaction events. |
| Databáze: | OpenAIRE |
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