Aerial Violence Recognition Based on Spatial-Temporal Graph Convolutional Networks and Attention Model

Aerial Violence Recognition Based on Spatial-Temporal Graph Convolutional Networks and Attention Model

The violence in public areas occurs frequently and video surveillance is of great significance for maintaining public safety.Compared with fixed cameras,unmanned aerial vehicles (UAVs) have surveillance mobility.However,in aerial images,the rapid movement of UAVs as well as the change of posture and...

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Bibliographic Details
Main Author: SHAO Yan-hua, LI Wen-feng, ZHANG Xiao-qiang, CHU Hong-yu, RAO Yun-bo, CHEN Lu
Format: Article
Language:zho
Published: Editorial office of Computer Science 2022-06-01
Series:Jisuanji kexue
Subjects:
violence recognition|human pose estimation|aerial photography|spatial-temporal graph convolutional|cascade network|attention mechanism
Online Access:https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-6-254.pdf

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