A Novel On-Road Object Detection Approach Based on Vision

摘要：

This paper proposed a simple and novel approach for on-road object detection based on vision. Firstly, a simple method is applied to detect the interest pixels of object in images by the defined interest pixels function and a single strategy is applied to reduce the redundant computation in the process of computation gray mean of pixels in squared window; Secondly, all the detected interest pixels neighbored each other are grouped to object interest region; after that, the non-interest pixels in are set to interest pixels and the images are binarized; The binary images could be easily segmented applying simple contour tracking algorithms. Lastly, several images captured from ITS or ALV system are used to test the proposed algorithm, the result indicate that the approach is valid and feasible.

关键词： object detection ROI extraction interest pixels inner filling

作者: Yongquan Xia Min Huang Wei Cui Fengqin Wang Xiaolei Chen

作者单位: dept. of computer&communication engineer Zhengzhou University of Light Industry Zhengzhou, China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机电自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 440-443

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）