Faster RCNN for Concurrent Pedestrian and Cyclist Detection

International Journal of Electronics and Communication Engineering

© 2018 by SSRG - IJECE Journal

Volume 5 Issue 5

Year of Publication : 2018

Authors : Anjali S and Nithin Joe

10.14445/23488549/IJECE-V5I5P105

How to Cite?

Anjali S and Nithin Joe, "Faster RCNN for Concurrent Pedestrian and Cyclist Detection," SSRG International Journal of Electronics and Communication Engineering, vol. 5,  no. 5, pp. 21-24, 2018. Crossref, https://doi.org/10.14445/23488549/IJECE-V5I5P105

Abstract:

Pedestrian and cyclist detection systems are increasing attention with the development of autonomous automobiles and robotics. Many researches have been done for protecting vulnerable road users particularly pedestrians and cyclists. Little effort has been made to detect the pedestrian and cyclist concurrently. Here we are using a method called UB-MPR-Upper Body Multiple Potentil Region to detect them concurrently. For the classification and localization, we are using faster RCNN network. Experimental results indicate that the faster RCNN method outperforms the already existing fast RCNN method.

Keywords:

faster RCNN; fast RCNN; pedestrian; cyclist detection; upperbody detection.

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