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.

该研究综述了视频异常检测中采用的 “分而治之” 策略，并在此基础上提出了一种将人体骨架框架与视频数据分析技术相结合的新方法，该方法在上海科技数据集上实现了最先进的性能，超过了所有现有的先进方法。