A Moving Human-Object Detection for Video Access Monitoring

In this paper, a simple moving human detection method is proposed for video surveillance system or access monitoring system. The frame difference and noise threshold are used for initial detection of a moving human-object, and simple labeling method is applied for final human-object segmentation. The simulated results show that the applied algorithm is fast to detect the moving human-objects by performing 95% of correct detection rate. The proposed algorithm has confirmed that can be used as an intelligent video access monitoring system.

• Won-Ho Kim
• Nuwan Sanjeewa Rajasooriya

• Moving human-object detection
• Video access monitoring
• Image processing.

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