Knowledge Commons of Institute of Automation,CAS
Traffic Sign Detection from Video: A Fast Approach with Tracking | |
Wang Dongdong; Hou Xinwen; Liu Cheng-Lin | |
2015-12 | |
会议名称 | 3rd Asian Conference on Pattern Recognition |
会议录名称 | Asian Conference on Pattern Recognition |
会议日期 | 2015-12-3-2015-12-6 |
会议地点 | 马来西亚吉隆坡 |
摘要 |
This paper proposes a fast approach for traffic sign detection from video. First, we modify the image-based detector HHVCas to improve its accuracy and speed, then apply it to video-based detection with further acceleration by tracking. For the image-based detector, by optimizing the parameters in the cascade using an unsupervised approach, we achieve performance comparable to the state-of-the-art while keeping the speed advantage. Parallelizing some steps in the HHVCas detector leads to 1:5x speedup and 20fps detection. In video, the detector achieves 2.8x speedup and performs 35 fps by tracking every other frame. It also obtains significant precision increase by 5~8% at high recall when exploiting temporal coherence of results in multiple frames.
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关键词 | Traffic Sign Detection Tracking |
学科领域 | 模式识别与智能系统 |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/11767 |
专题 | 多模态人工智能系统全国重点实验室_模式分析与学习 |
通讯作者 | Wang Dongdong |
作者单位 | 中科院自动化研究所 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Wang Dongdong,Hou Xinwen,Liu Cheng-Lin. Traffic Sign Detection from Video: A Fast Approach with Tracking[C],2015. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Traffic Sign Detecti(406KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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