基于帧差和训练算法的教学视频运动目标检测与标记

2021 IEEE 15th International Conference on Anti-counterfeiting, Security, and Identification (ASID) Pub Date : 2021-10-29 DOI:10.1109/asid52932.2021.9651485

Zhenyu Wang, Junping Wang, Nan Wang

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引用次数: 1

摘要

运动目标检测是视频图像处理技术的一个重要分支。广泛应用于军事、交通、航空等领域。然而，在教学领域仍然存在差距。本文将运动目标检测应用于教学视频领域。列车算法用于标记未连通区域。在此基础上，实现了一个运动目标检测和标记系统，以辅助教师管理课堂。首先，采用帧差法对运动目标进行检测。其次，采用自定义阈值进行二值化。然后采用中值滤波和开放运算对图像进行去噪和形态学处理。然后，对得到的未连通区域进行分割和定位，通过训练算法进行处理。最后，根据块中设置的像素和阈值，对大于阈值的运动区域进行标记。系统结果表明了该算法的有效性和教学视频中运动目标检测的准确性。

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Moving Object Detection and Marking Based on Frame Difference and Train Algorithm for Teaching Video

Moving object detection is an important branch of video image processing technology. It is widely used in military, transportation, aviation and other fields. However, there are still gaps in the field of teaching. In this paper, moving object detection is applied to the field of teaching video. The train algorithm is designed to mark the unconnected areas. Then a moving object detection and marking system is realized to assist teachers in managing the classroom. Firstly, the system uses the frame difference method to detect the moving object. Secondly, the custom threshold is used for binarization. Then the median filter and open operation is used to denoise and morphological processing. After that, the obtained unconnected region is segmented and located by the processing of the train algorithm. Finally, the moving region greater than the threshold is marked according to the set pixels and threshold in the block. The system results show the effectiveness of the algorithm and the accuracy of moving object detection in teaching video.

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2021 IEEE 15th International Conference on Anti-counterfeiting, Security, and Identification (ASID)

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