Abstract
In this paper, we consider direction estimation of pedestrian group for video surveillance and intelligent vehicles applications. A theoretical study of the position of vanishing points in image plane associated with all directions in the scene leads to the definition of the notion of directional areas. Image plane is divided along the x-axis into a set of bounded areas; each one is associated with a specific direction. The pedestrian direction is inferred directly depending on the belonging area of the vanishing points computed from video sequence. Top and bottom points of walking pedestrian define two parallel lines in 3D. The vanishing point is estimated from video sequence and from the direction of the pedestrian. The obtained results demonstrate the efficacy and robustness of the proposed method and confirm the improvement with respect to state-of-the-art approaches.
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The authors Amina Bensebaa and Slimane Larabi declare no competing financial interests.
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Bensebaa, A., Larabi, S. Direction estimation of moving pedestrian groups for intelligent vehicles. Vis Comput 34, 1109–1118 (2018). https://doi.org/10.1007/s00371-018-1520-z
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DOI: https://doi.org/10.1007/s00371-018-1520-z