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應用於視訊監控系統之高度估測方法

A Height Estimation Method for Video Surveillance Systems

摘要


本文提出一套基於單視角測量並應用於視訊監控系統之高度估測方法。本方法將高度估測設計為參數最佳化問題,採用任一立方體箱型物決定三組消失點之粗略座標,再透過基因演算法配合柯西突變運算獲得精確之消失點座標值。於視訊監控系統中,給定任一待測物體之底部與頂部座標點即可估測其實際高度值。本文所提之方法無需事先估測攝影機之內部參數且易於安裝設定,實驗結果顯示本方法搭配一般數位及類比攝影機均可獲得準確之估測結果。

並列摘要


This paper presents a height estimation method for video surveillance systems based on single view metrology. In the proposed method, a cubic box is used as the reference object for determining three rough vanishing points. An optimization problem is then formulated to fine tune these inaccurate vanishing points based on a novel object function and the genetic algorithm with Cauchy mutation operator. In video surveillance systems, the height of an object can be estimated by providing its bottom and top feature points. The advantages of the proposed approach are its independency of the camera's internal parameters and ease to setup. Experimental results show the effectiveness of the proposed approach with digital and analog video cameras.

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