Abstract
This paper proposes a novel approach to a computer vision based automatic system for the estimation of pedestrian velocity in real world traffic systems in which a fixed camera is available. The paper will introduce the adopted framework, which includes a preprocessing phase, an identification and tracking phase, and a speed estimation final phase. Speed estimation, implying a conversion from image to real world coordinates, can be carried out with two different techniques that will be discussed in details and evaluated with reference to achieved results.
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Khan, S.D., Porta, F., Vizzari, G., Bandini, S. (2014). Estimating Speeds of Pedestrians in Real-World Using Computer Vision. In: Wąs, J., Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2014. Lecture Notes in Computer Science, vol 8751. Springer, Cham. https://doi.org/10.1007/978-3-319-11520-7_55
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DOI: https://doi.org/10.1007/978-3-319-11520-7_55
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11519-1
Online ISBN: 978-3-319-11520-7
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