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A Room Monitoring System Using Deep Learning and Perspective Correction Techniques

Studies on room monitoring have only focused on objects in a singular and uniform posture or low-density groups. Considering the wide use of convolutional neural networks for object detection, especially person detection, we use deep learning and perspective correction techniques to propose a room m...

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Tallennettuna:
Päätekijät: Huu-Huy Ngo, Feng-Cheng Lin, Yang-Ting Sehn, Mengru Tu, Chyi-Ren Dow
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2020-06-01
Sarja:Applied Sciences
Aiheet:
deep learning
Mask R-CNN
object detection
people counting
perspective correction
Linkit:https://www.mdpi.com/2076-3417/10/13/4423
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