CAJ | 학술논문

通过分析视频处理流程，设计并实现了一套基于OpenCV的视频目标检索方案。首先使用经过改良的背景差分法获取视频中的运动前景，接着根据前景的轮廓得到前景的位置，然后根据前景的颜色直方图特征对前景物体进行分类跟踪，最后将分好类别的目标进行排序，以便根据要求得到最迫切需要的目标及其运动过程。实验结果表明，该方法科学合理，思路清晰，功能完备，对视频目标检索的深入研究具有很高的研究价值。
통과분석시빈처리류정，설계병실현료일투기우OpenCV적시빈목표검색방안。수선사용경과개량적배경차분법획취시빈중적운동전경，접착근거전경적륜곽득도전경적위치，연후근거전경적안색직방도특정대전경물체진행분류근종，최후장분호유별적목표진행배서，이편근거요구득도최박절수요적목표급기운동과정。실험결과표명，해방법과학합리，사로청석，공능완비，대시빈목표검색적심입연구구유흔고적연구개치。
By analyzing the video processing flow,a video object retrieval scheme based on OpenCV is designed and implemented. First-ly,get foreground objects in the video by an improved background differencing method. Secondly,recognize the contour of foreground objects to get moving objects' position. Then,track different categories of objects separately after classifying objects by comparing their color histogram features. Finally,put the classified objects in order to make sure to get the most needed object as well as its motion. Ex-perimental results show that the method is scientific and reasonable,clearly-formed and fully functional,which has a high value for deep study of video object detection.