Occupant Detection through Near-Infrared Imaging

摘要：

This paper investigates a method to detect occupants in vehicles, the purpose of which is to facilitate the task of monitoring and counting of vehicle occupants either by human screeners or by pattern recognition algorithms. The proposed near-infrared (NIR) imaging method can effectively deal with the challenge due to windshield reflection to improve the clarity of the captured image of the vehicle interior. A preliminary occupant detection algorithm is also presented in this paper.

关键词： occupant detection NIR imaging windshield reflection Hough transform line detector mask

作者: Xiaoli Hao Houjin Chen Changli Wang Chang Yao

作者单位: School of Electronics and Information Engineering ，Beijing Jiaotong University ，Beijing, 100044

会议类型: 国际会议

会议名称: 2010 Cross-Strait Conference on Information Science and Technology(2010 海峡两岸信息科学与技术学术交流会)

会议地点: 秦皇岛

会议语种:英文

页码: 332-335

在线出版日期: 2010-07-09（万方平台首次上网日期，不代表论文的发表时间）