Video anomaly detection is a complex task, and the principle of "divide and conquer" is often regarded as an effective approach to tackling intricate issues. It's noteworthy that recent methods in video anomaly detection have revealed the application of the divide and conquer philosophy (albeit with distinct perspectives from traditional usage), yielding impressive outcomes. This paper systematically reviews these literatures from six dimensions, aiming to enhance the use of the divide and conquer strategy in video anomaly detection. Furthermore, based on the insights gained from this review, a novel approach is presented, which integrates human skeletal frameworks with video data analysis techniques. This method achieves state-of-the-art performance on the ShanghaiTech dataset, surpassing all existing advanced methods.

翻译：视频异常检测是一项复杂的任务，“分而治之”原则常被视为解决复杂问题的有效方法。值得注意的是，近期视频异常检测方法中揭示了分而治之哲学的应用（尽管其视角与传统用法不同），并取得了显著成果。本文从六个维度系统综述了这些文献，旨在提升分而治之策略在视频异常检测中的应用效果。此外，基于综述获得的见解，提出了一种新方法，该方法将人体骨骼框架与视频数据分析技术相结合。该方案在上海科技大学数据集上达到了最先进性能，超越了所有现有先进方法。