Journal
JOURNAL OF REAL-TIME IMAGE PROCESSING
Volume 14, Issue 2, Pages 453-467Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s11554-014-0467-1
Keywords
Markerless motion capture (MMOCAP); GPU; Tracking
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Funding
- Spanish Ministry of Science and Technology [TIN-2011-22408, TIN-2012-32952]
- FEDER funds
- Spanish Ministry of Education under FPU grant [AP2010-0042]
- Spanish Ministry of Science and Technology [TIN-2011-22408, TIN-2012-32952]
- FEDER funds
- Spanish Ministry of Education under FPU grant [AP2010-0042]
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Markerless motion capture (MMOCAP) is the problem of determining the pose of a person from images captured by one or several cameras simultaneously without using markers on the subject. Evaluation of the solutions is frequently the most time-consuming task, making most of the proposed methods inapplicable in real-time scenarios. This paper presents an efficient approach to parallelize the evaluation of the solutions in CPUs and GPUs. Our proposal is experimentally compared on six sequences of the HumanEva-I dataset using the CMAES algorithm. Multiple algorithm's configurations were tested to analyze the best trade-off with regard to the accuracy and computing time. The proposed methods obtain speedups of 8 in multi-core CPUs, 30 in a single GPU and up to 110 using 4 GPUs.
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