Object detection in videos using principal component pursuit and convolutional neural networks
Object recognition in videos is one of the main challenges in computer vision. Several methods have been proposed to achieve this task, such as background subtraction, temporal differencing, optical flow, particle filtering among others. Since the introduction of Convolutonal Neural Networks (CNN)...
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| Format: | Dissertation |
| Language: | English |
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Pontificia Universidad Católica del Perú
2018
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| Online Access: | http://hdl.handle.net/20.500.12404/11982 |
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