Fast and accurate direction estimation of moving pedestrians |
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Authors: | Amina Bensebaa |
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Affiliation: | Computer Science Department, University USTHB, Algiers, Algeria |
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Abstract: | This work proposes a simple yet efficient way to estimate pedestrians flow direction based on videos from still cameras. It does that by localizing the extremities of head and feet of silhouettes and fitting them to lines. As the previous in three-dimensional space of these lines are parallel, their intersection point is the vanishing point. Using the computed vanishing point and two internal camera parameters, the horizontal direction of moving pedestrian is determined. Our method competes for the state-of-the-art methods and achieves a high rate accuracy for direction classification. |
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Keywords: | Projective geometry vanishing point direction video sequence |
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