This paper presents a pre-processed faster region convolution neural network (faster RCNN) for the purpose of on-road vehicle detection. The system introduces a preprocessing pipeline on faster RCNN. The preprocessing method is for the improvement on training and detection speed of Faster RCNN. A preprocessing lane detection pipeline based on the Sobel edge operator and Hough Transform is used to detect lanes. A Rectangular region is then extracted from lane coordinates which is a reduced region of interest (ROI). Results show that the proposed method improves the training speed of faster RCNN when compared to faster RCNN without preprocessing.


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    Title :

    Preprocessed Faster RCNN for Vehicle Detection


    Contributors:


    Publication date :

    2018-12-01


    Size :

    237181 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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