基于自适应背景模型的实时人体检测

Real-Time Human Detection Based on the Adaptive Background Model

摘要: 提出了基于动态信息窗口的自适应背景模型,在此基础上建立人体检测的有效算法.通过实验表明,该方法能够适应变化的背景,具有较强的鲁棒性和较好的实时性.

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.