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Abstract
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| A novel GPU-based nonparametric moving object detection strategy for computer vision tools requiring real-time processing is proposed. An alternative and efficient Bayesian classifier to combine nonparametric background and foreground models allows increasing correct detections while avoiding false detections. Additionally, an efficient region of interest analysis significantly reduces the computational cost of the detections. | |
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International
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Si |
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Congress
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IEEE Int. Conf. on Consumer Electronics, ICCE 2014 |
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960 |
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Place
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Las Vegas (NV), USA |
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Reviewers
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Si |
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ISBN/ISSN
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2158-3994 |
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10.1109/ICCE.2014.6776041 |
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Start Date
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10/01/2014 |
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End Date
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13/01/2014 |
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From page
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359 |
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To page
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260 |
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IEEE Int. Conf. on Consumer Electronics, ICCE 2014 |