Convolutive neural network-based approaches to video image analysis
Abstract
The focus of this research is on providing a foundational understanding of convolutional neural networks for its application, in particular, to the detection of moving objects. Furthermore, the paper details the functioning and interplay of convolutional layers. Manually analysing a huge dataset of video stills is now the only viable option, but this is time-consuming and requires human expertise. The algorithms included into neural networks allow for autonomous analysis and identification.
Keywords
Video analysis, Convolutional Neural Networks, Convolutional Layers, Identification, Moving ObjectsHow to Cite
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