Real-Time Human Detection Based on the Adaptive Background Model

HAN Hongzhe; WANG Zhiliang; LIU Jiwei; LI Bin; HAN Zhongtao

doi:10.13374/j.issn1001-053x.2003.04.024

Volume 25 Issue 4

Aug. 2021

Turn off MathJax

Article Contents

Article Navigation > Chinese Journal of Engineering > 2003 > 25(4): 384-386

HAN Hongzhe, WANG Zhiliang, LIU Jiwei, LI Bin, HAN Zhongtao. Real-Time Human Detection Based on the Adaptive Background Model[J]. Chinese Journal of Engineering, 2003, 25(4): 384-386. doi: 10.13374/j.issn1001-053x.2003.04.024

Citation:

HAN Hongzhe, WANG Zhiliang, LIU Jiwei, LI Bin, HAN Zhongtao. Real-Time Human Detection Based on the Adaptive Background Model[J]. Chinese Journal of Engineering, 2003, 25(4): 384-386. doi: 10.13374/j.issn1001-053x.2003.04.024

Citation:

PDF( 550 KB)

Real-Time Human Detection Based on the Adaptive Background Model

doi: 10.13374/j.issn1001-053x.2003.04.024

Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China

Received Date: 2003-05-10
Available Online: 2021-08-17

Abstract

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.
- adaptive background model,
- human detection,
- background subtraction,
- computer vision