入侵监控领域中，在固定场景下，需要检测和监控的入侵物体种类繁多，无法具体穷尽。传统的CV算法提取的特征应用场景有限，无法完成大量物体的监控；深度学习目标检测方法没法收集到无穷无尽的物体种类，因此监督效果仅限于编著物体，且适应性因场景变化而变化；异常检测方案，因为场景随着天气、光照的变化，无法行之有效的判断出异常物体的位置，并有时甚至出现误判断。 背景减除算法，通过学习固定场景下不变的背景，利用当

BGSLibrary：A Background Subtraction Library The BGSLibrary was developed by Andrews Sobral and provides an easy-to-use C++ framework based on OpenCV to perform background subtraction (BGS) in videos.

BGSLibrary：A Background Subtraction Library The BGSLibrary was developed by Andrews Sobral and provides an easy-to-use C++ framework based on OpenCV to perform background subtraction (BGS) in videos.