常州大学学报（自然科学版）2024，Vol.36Issue(3)：45-58,14.DOI:10.3969/j.issn.2095-0411.2024.03.006
视频质量波动影响下的视频异常检测算法有效性分析
Effectivity analysis of video anomaly detection algorithm with video quality fluctuation
摘要
Abstract
As most anomaly detection methods generally ignore the impact of video quality fluctuations in actual scenarios on their performance.Firstly,public datasets from the field of video anomaly detec-tion were selected,and a distortion dataset for anomaly detection by artificially introducing common distortions found in surveillance videos through simulation methods was constructed.This paper sys-tematically analyzes the impact of video quality fluctuations on the performance of four classic video a-nomaly detection algorithms.And the experimental results show that the degradation of surveillance data quality have a negative effect on the effectiveness of the video anomaly detection algorithm.Mo-reover,the impact of different distortion types and different degrees of distortion on the algorithm is different,as well as,Gaussian noise distortion and over brightness distortion have a greater impact on the algorithm.关键词
异常检测/质量波动/仿真/失真/有效性Key words
anomaly detection/quality fluctuation/simulation/distortion/effectiveness分类
信息技术与安全科学引用本文复制引用
刘存,杨曦晨,陈天海,吉根林..视频质量波动影响下的视频异常检测算法有效性分析[J].常州大学学报（自然科学版）,2024,36(3):45-58,14.基金项目
国家自然科学基金资助项目(41971343) （41971343）
国家自然科学基金青年基金资助项目(62101268). （62101268）
