BACKGROUND MODEL CONSTRUCTION AND MAINTENANCE IN A VIDEO SURVEILLANCE SYSTEM

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BACKGROUND MODEL CONSTRUCTION AND MAINTENANCE IN
A VIDEO SURVEILLANCE SYSTEM

• Computer Vision Laboratory
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2
Outline

• Introduction
• Initial background model construction
• Background model adjustment
• Background model replacement
• Moving object detection
• Experimental results and analysis
• Conclusions
• References

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Introduction(1)

• Background objects, foreground ones.
• Moving object detection, tracking, object type
  classification, human motion analysis, behavior
  understanding.
• Background subtraction, temporal differencing,
  optical flow analysis.

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Introduction(2)
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Initial background model construction(1)
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Initial background model construction(2)
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Background model adjustment(1)
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Background model adjustment(2)
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Background model replacement(1)

• Superimposed image analysis

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Background model replacement(2)

• Candidate frames
• collection

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Background model replacement(3)

• Background model replacement

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Moving object detection
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Experimental results and analysis
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Conclusions

• Initial background model construction, sustained
  background model adjustment, rapid background
  model replacement.
• Future
• process an insufficient light environment during
  the night.
• object tracking, face recognition, and behavior
  understanding.

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References

• The 18th IPPR Conference on Computer Vision,
  Graphics and Image Processing