[1]彭祥云,陈 黎.安防视频时间戳同步检测方法研究[J].计算机技术与发展,2021,31(11):195-201.[doi:10. 3969 / j. issn. 1673-629X. 2021. 11. 032]
　PENG Xiang-yun,CHEN Li.Research on Synchronous Detection Method of Security Video Time Stamp[J].,2021,31(11):195-201.[doi:10. 3969 / j. issn. 1673-629X. 2021. 11. 032]
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安防视频时间戳同步检测方法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年11期
页码:
195-201
栏目:
应用前沿与综合
出版日期:
2021-11-10

文章信息/Info

Title:
Research on Synchronous Detection Method of Security Video Time Stamp
文章编号:
1673-629X(2021)11-0195-07
作者:
彭祥云1; 2 ; 陈 黎1; 2
1. 湖北省智能信息处理与实时工业系统重点实验室,湖北 武汉 430081;
2. 武汉科技大学 计算机科学与技术学院,湖北 武汉 430081
Author(s):
PENG Xiang-yun1; 2 ; CHEN Li1; 2
1. Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System,Wuhan 430081,China;
2. School of Computer Science and Technology,Wuhan University of Science and Technology,Wuhan 430081,China
关键词:
安防视频; 深度学习; 卷积神经网络; 时间戳; 文本检测; 容差匹配
Keywords:
security video; deep learning; convolution neural network; time-stamp; text detection; tolerance matching
分类号:
TP391. 43
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 11. 032
摘要:
针对安防视频标注时间与标准时间存在偏差的问题,提出基于深度学习的时间戳同步检测方法。 首先,针对目前的场景文本检测算法在检测视频时间戳区域时会出现时间戳区域检测不完全或检测框过大的现象,提出 CBAP 算法。 该算法首先通过卷积神经网络得到字符级的检测结果与像素级的分割结果,再从字符级的检测结果和像素级的分割结果中提炼出最终检测结果,从而得到更为精确的文本实例包围框,能够有效地应对复杂多样的时间戳区域的检测任务。 其次,提出基于容差匹配的时间戳同步判定方法用于解决视频图像在网络传输、编解码等各环节的延时导致时间同步判断出错的问题。 最终,实验结果证明了提出的时间戳同步判定方法的合理性与有效性。
Abstract:
Aiming at the problem that the marking time of security video deviates from the standard time, a time stamp synchronous detection method? based on deep learning is proposed. First of all,for the current scene text detection algorithm,when detecting the timestamp region of the video,the detection of the time stamp area is not complete or the detection frame is too large. Therefore,CBAP algorithm is proposed. Character level detection results and pixel level segmentation results are obtained by convolution neural network firstly,and then the final detection results are extracted from the character level detection results and pixel level segmentation results,so as to obtain more accurate text instance envelope, which can effectively deal with the detection tasks of complex and diverse time stamp areas. Secondly,a time stamp synchronization decision method based on tolerance matching is proposed to solve the problem of time synchronization judgment error caused by the delay of image transmission,encoding and decoding. Finally,the experiment proves that the proposed method is reasonable and effective.

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更新日期/Last Update: 2021-11-10