Real-time vehicle detection based on Quasi-shot segmentation

Yan Liu*, Yaping Dai, Meng Wang, Zhongjian Dai, Zubair Ahmed Memon

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

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摘要

In this paper, a Quasi-shot Segmentation Vehicle Detection (QSVD) method is proposed to improve the accuracy and robustness of traffic flow detection. The QSVD method is based on histogram intersection method to find the biggest difference between successive frames. Adjacent frames are considered in when vehicle is detected in current frame. Relying on the QSVD method, vehicle can be detected by signal peak and valley search and gradual transition shot detection problem can be resolved. The initial video is used to accomplish detection directly without image preprocessing. Experiments show that vehicles can be detected effectively by the QSVD method. The detection accuracy is remained at 93% or more.

源语言英语
主期刊名Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
447-450
页数4
DOI
出版状态已出版 - 2010
活动2010 3rd International Congress on Image and Signal Processing, CISP 2010 - Yantai, 中国
期限: 16 10月 201018 10月 2010

出版系列

姓名Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
1

会议

会议2010 3rd International Congress on Image and Signal Processing, CISP 2010
国家/地区中国
Yantai
时期16/10/1018/10/10

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引用此

Liu, Y., Dai, Y., Wang, M., Dai, Z., & Memon, Z. A. (2010). Real-time vehicle detection based on Quasi-shot segmentation. 在 Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010 (页码 447-450). 文章 5646999 (Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010; 卷 1). https://doi.org/10.1109/CISP.2010.5646999