基于自適應背景模型的實時人體檢測

Real-Time Human Detection Based on the Adaptive Background Model

摘要: 提出了基于動態信息窗口的自適應背景模型,在此基礎上建立人體檢測的有效算法.通過實驗表明,該方法能夠適應變化的背景,具有較強的魯棒性和較好的實時性.

Abstract: An adaptive background model based on Dynamic Information Window (DIW) was proposed. Using the adaptive background model, an effective human detection approach was presented. Experimental results demonstrated that the method can give a robust estimation of changing background models in real-time.