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Abstract: A novel deep neural network is proposed, for accurate and robust crowd counting. Crowd counting is a complex task, as it strongly depends on the ...
A novel deep neural network is proposed, for accurate and robust crowd counting. Crowd counting is a complex task, as it strongly depends on the deployed camera ...
Accurate Deep Net Crowd Counting for Smart IoT Video acquisition devices · Khadka, Anish; Argyriou, Vasileios; Remagnino, Paolo · Authors.
Abstract—A novel deep neural network is proposed, for accu- rate and robust crowd counting. Crowd counting is a complex task, as it strongly depends on the ...
In this regard, various CNN based crowd counting methods were proposed to cope with major issues like occlusion, low visibility, inter-and intra-object ...
Oct 18, 2020 · Khadka, Anish, Argyriou, Vasileios and Remagnino, Paolo (2020) Accurate deep net crowd counting for smart IoT video acquisition devices.
Visible to the public Accurate Deep Net Crowd Counting for Smart IoT Video acquisition devices · IoT cameras · video surveillance · smart IoT video acquisition ...
Accurate Deep Net Crowd Counting for Smart IoT Video acquisition devices. Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/dcoss/KhadkaAR20.
This paper proposes a Deep Convolution Neural Network-based 'CrowdDCNN' model for crowd counting. This model reduces the value of mean square error by 0.29 and ...
Missing: acquisition | Show results with:acquisition
A novel deep neural network is proposed, for accurate and robust crowd counting. Crowd counting is a complex task, as it strongly depends on the deployed ...