Main contents and outcome of the study is presented as follows.1. Face Features Extraction of Detecting Sequences.
主要研究内容和成果如下:1.检测帧脸部特征提取。
参考来源 - 驾驶员智能监控系统中的脸部特征提取研究·2,447,543篇论文数据,部分数据来源于NoteExpress
于是我们可直接利用镜头中的I 帧检测文字帧的出现。
We can make use of I frames in the shot to detect text frame.
利用运动检测算法,BriefCam软件能把背景(静态或非运动的物体)同运动的物体分开,在帧内记录并分析任何一个动作。
Using motion-detection algorithms, the BriefCam software separates the background (static or non-moving objects) from the moving objects, tracking and analysing any motion within the frame.
换句话说,校验字节的监测和检测过的SONET帧的不同部分中的错误。
In other words, parity bytes monitor and detect errors over different parts of a SONET frame.
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