Direction estimation of moving pedestrian groups for intelligent vehicles

Direction estimation of moving pedestrian groups for intelligent vehicles 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Visual Computer Springer Journals

Direction estimation of moving pedestrian groups for intelligent vehicles

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Computer Science; Computer Graphics; Computer Science, general; Artificial Intelligence (incl. Robotics); Image Processing and Computer Vision
ISSN
0178-2789
eISSN
1432-2315
D.O.I.
10.1007/s00371-018-1520-z
Publisher site
See Article on Publisher Site

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.

Journal

The Visual ComputerSpringer Journals

Published: May 2, 2018

References

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