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This content will become publicly available on July 31, 2024

Title: Anomaly Analysis in Images and Videos: A Comprehensive Review
Anomaly analysis is an important component of any surveillance system. In recent years, it has drawn the attention of the computer vision and machine learning communities. In this article, our overarching goal is thus to provide a coherent and systematic review of state-of-the-art techniques and a comprehensive review of the research works in anomaly analysis. We will provide a broad vision of computational models, datasets, metrics, extensive experiments, and what anomaly analysis can do in images and videos. Intensively covering nearly 200 publications, we review (i) anomaly related surveys, (ii) taxonomy for anomaly problems, (iii) the computational models, (iv) the benchmark datasets for studying abnormalities in images and videos, and (v) the performance of state-of-the-art methods in this research problem. In addition, we provide insightful discussions and pave the way for future work.  more » « less
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Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
ACM Computing Surveys
Page Range / eLocation ID:
1 to 37
Medium: X
Sponsoring Org:
National Science Foundation
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