Advanced motion detection for intelligent video surveillance systems

Authors:
Fan-Chieh Cheng;Shih-Chia Huang;Shanq-Jang Ruan
Affiliations:
National Taiwan University of Science and Technology, Taipei, Taiwan;National Taipei University of Technology, Taipei, Taiwan;National Taiwan University of Science and Technology, Taipei, Taiwan
Venue:
Proceedings of the 2010 ACM Symposium on Applied Computing
Year:
2010

Citing 5
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Abstract

In this paper, we propose a novel background subtraction method that makes use of spectral, spatial, and temporal features extracted from the video sequence in determination of the best background candidates for background modeling. As the final step of our process, the binary moving object detection mask is computed using prompt background subtraction with our proposed background model. The overall results of these analyses thus demonstrate that our proposed method substantially outperforms existing methods by an F1 metric accuracy rate increase of up to 79%.