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Updated: Jul 23, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

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一个新的无监督视频异常检测框架,基于光流重建和删除预测

Heqing Huang1, Bing Zhao2, Fei Gao1,3

  • 1School of Electronic and Information Engineering, Beihang University, Beijing 100190, China.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括

本研究引入了一种新的无监督学习框架,用于使用Cloze测试策略检测视频异常 (VAD). 该方法通过对象级运动和外观编码来准确识别不寻常活动,从而增强智能城市监控.

关键词:
不完整的事件不完整的事件.光学流的光学流量视频异常检测 检测异常

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