Research on Local Counting and Object Detection of Multiscale Crowds in Video Based on Time-Frequency Analysis

Objective. It has become a very difficult task for cameras to complete real-time crowd counting under congestion conditions. Methods. This paper proposes a DRC-ConvLSTM network, which combines a depth-aware model and depth-adaptive Gaussian kernel to extract the spatial-temporal features and depth-l...

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Veröffentlicht in:	Journal of sensors 2022-08, Vol.2022, p.1-19
Hauptverfasser:	Ren, Guoyin, Lu, Xiaoqi, Li, Yuhao
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Datasets Density Effectiveness Feature extraction Light rail transportation Methods Object recognition Passengers Pedestrians Perception Time-frequency analysis Traffic congestion
Online-Zugang:	Volltext
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