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• [P774] An Effective Background Reconstruction Method for Complicated Traffic Crossroads
  Author(s): Hong Liu, Wei Chen
  
  

  Abstract
  Effective background reconstruction is the key for real time traffic flow monitoring. High traffic density and complexity of background scene make reconstruction more difficult. Background estimation based on the median method is imprecise under a large traffic flow condition. In this paper, a new background estimation method based on the similarity of background using parameters of gray mean and variance is proposed. Therefore, a two-dimensional clustering and merger mechanism is introduced. At last, accurate decision about the true category of background is made by analyzing the distribution characteristic of frame number in one category. Our algorithm works on the difficult condition of traffic congestion with more reliability. The proposed method can be used in background reconstruction of the crossroads based on video sequences.

  
   

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