State-of-the-art object detection model for detecting CCTV and video surveillance cameras from images and videos

State-of-the-art object detection model for detecting CCTV and video surveillance cameras from images and videos

Bibliographic Details
Main Author: Turtiainen, Hannu-Tapani
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä, Tietojenkäsittelytiede, Computer Science, 601
Format: Master's thesis
Language:eng
Published: 2020
Subjects:
CCTV cameras
object detection
state-of-the-art
convolutional neural networks
konenäkö
kameravalvonta
koneoppiminen
computer vision
closed-circuit television
machine learning
Online Access: https://jyx.jyu.fi/handle/123456789/69177
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author Turtiainen, Hannu-Tapani
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Tietojenkäsittelytiede Computer Science 601
author_facet Turtiainen, Hannu-Tapani Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Tietojenkäsittelytiede Computer Science 601 Turtiainen, Hannu-Tapani
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spellingShingle Turtiainen, Hannu-Tapani State-of-the-art object detection model for detecting CCTV and video surveillance cameras from images and videos CCTV cameras object detection state-of-the-art convolutional neural networks konenäkö kameravalvonta koneoppiminen computer vision closed-circuit television machine learning
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title State-of-the-art object detection model for detecting CCTV and video surveillance cameras from images and videos
title_full State-of-the-art object detection model for detecting CCTV and video surveillance cameras from images and videos
title_fullStr State-of-the-art object detection model for detecting CCTV and video surveillance cameras from images and videos State-of-the-art object detection model for detecting CCTV and video surveillance cameras from images and videos
title_full_unstemmed State-of-the-art object detection model for detecting CCTV and video surveillance cameras from images and videos State-of-the-art object detection model for detecting CCTV and video surveillance cameras from images and videos
title_short State-of-the-art object detection model for detecting CCTV and video surveillance cameras from images and videos
title_sort state of the art object detection model for detecting cctv and video surveillance cameras from images and videos
title_txtP State-of-the-art object detection model for detecting CCTV and video surveillance cameras from images and videos
topic CCTV cameras object detection state-of-the-art convolutional neural networks konenäkö kameravalvonta koneoppiminen computer vision closed-circuit television machine learning
topic_facet CCTV cameras closed-circuit television computer vision convolutional neural networks kameravalvonta konenäkö koneoppiminen machine learning object detection state-of-the-art
url https://jyx.jyu.fi/handle/123456789/69177 http://www.urn.fi/URN:NBN:fi:jyu-202005253430
work_keys_str_mv AT turtiainenhannutapani stateoftheartobjectdetectionmodelfordetectingcctvandvideosurveillancecamer

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