Preprocessed Faster RCNN for Vehicle Detection
作者:Mduduzi Manana, Chunling Tu, P. Owolawi · 发表于:2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC) · 年份:2018 · DOI:10.1109/iconic.2018.8601243 · 被引用次数:24 · 研究领域:Computer Science
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.