Illuminating Vehicles with Motion Priors for Surveillance Vehicle Detection | |
Xiaolian Wang3,4; Xiyuan Hu2; Chen Chen3,4; Zhenfeng Fan3,4; Silong Peng1,3,4 | |
2020-10 | |
会议日期 | 2020-10-28 |
会议地点 | 线上会议 |
英文摘要 | Vehicle detection in traffic surveillance videos is a special subtask in object detection, where desired objects are vehicles moving on the road while the background is still within a sequence. The disparity of speed within each frame, i.e. moving and static, is consistent with the vehicle and background semantic to some extent, thus motions can be extracted to enhance the appearance of foreground. In this paper, we propose a motion prior embedded parallel architecture for vehicle detection, aiming at illuminating vehicles and suppressing false positives in the background. We further implement extensive experiments on the UA-DETRAC dataset to validate the effectiveness of our approach, and achieve promising performance in both accuracy and speed. |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/49692] |
专题 | 自动化研究所_智能制造技术与系统研究中心_多维数据分析团队 |
通讯作者 | Chen Chen |
作者单位 | 1.Beijing ViSystem Corporation Limited 2.Nanjing University of Science and Technology 3.University of Chinese Academy of Sciences 4.Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Xiaolian Wang,Xiyuan Hu,Chen Chen,et al. Illuminating Vehicles with Motion Priors for Surveillance Vehicle Detection[C]. 见:. 线上会议. 2020-10-28. |
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