Spatiotemporal deep networks for detecting abnormality in videos
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08786-w
Abstract: Detecting and localizing anomalous behavior in the surveillance video is explored and spatiotemporal model, which jointly learns the appearance and motion-based feature is proposed. The general solution is to learn from the normal-data as reference… read more here.
Keywords: networks detecting; detecting abnormality; deep networks; spatiotemporal deep ... See more keywords
Video Salient Object Detection Using Spatiotemporal Deep Features
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DOI: 10.1109/tip.2018.2849860
Abstract: This paper presents a method for detecting salient objects in videos, where temporal information in addition to spatial information is fully taken into account. Following recent reports on the advantage of deep features over conventional… read more here.
Keywords: saliency; detection; std features; spatiotemporal deep ... See more keywords
Enhancing Particulate Matter Estimation in Livestock-Farming Areas with a Spatiotemporal Deep Learning Model
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DOI: 10.3390/atmos16010012
Abstract: Livestock farms are recognized sources of ammonia emissions, impacting nearby regions’ fine dust particle concentrations, though the full extent of this impact remains uncertain. Air dispersion models, commonly employed to estimate particulate matter (PM) levels,… read more here.
Keywords: deep learning; spatiotemporal deep; particulate matter; model ... See more keywords