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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04635-6
Abstract: Video surveillance is one of the widely used and most active research applications of computer vision. Although lots of works have been done in the area of smart surveillance, but still there is a need…
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Keywords:
video;
motion;
video compression;
surveillance ... See more keywords
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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6825-4
Abstract: The rapidly increasing surveillance video data has challenged the existing video coding standards. Even though knowledge based video coding scheme has been proposed to remove redundancy of moving objects across multiple videos and achieved great…
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Keywords:
video data;
video;
hierarchical knowledge;
knowledge ... See more keywords
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Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-019-01471-y
Abstract: For online prediction of surveillance video, how to design a valid machine learning model is a challenging problem. To deal with the issue, a multilayer ELM with object principal trajectory has been proposed. In this…
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Keywords:
video;
online prediction;
surveillance video;
multilayer elm ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2940252
Abstract: This paper presents a deep compression method that uses some object detection methods to separate moving and stationary objects from a real frame in an apron surveillance video. The extracted object image, the corresponding position…
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Keywords:
video;
compression;
surveillance video;
apron surveillance ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3073114
Abstract: In this paper, we improve the inter coding performance of surveillance videos by simultaneously investigating the distinct characteristics of background and foreground redundancy, and introduce two novel reference frames in a complementary manner. On one…
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Keywords:
surveillance;
reference;
reference frames;
brf ... See more keywords
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Published in 2018 at "Pattern Recognition and Image Analysis"
DOI: 10.1134/s1054661818020190
Abstract: For the traditional method to extract the surveillance video key frame, there are problems of redundant information, substandard representative content and other issues. A key frame extraction method based on motion target detection and image…
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Keywords:
video;
image;
similarity;
frame extraction ... See more keywords
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Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380213
Abstract: Received: 19 November 2020 Accepted: 28 January 2021 The effective extraction of deep information from surveillance video lays the basis for smart city safety. However, the surveillance video images contain complex targets, whose expression changes…
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Keywords:
video;
surveillance video;
recognition;
smart city ... See more keywords