Motion Vector Based Moving Object Detection and Tracking in the MPEG Compressed Domain
Motion Vector Based Moving Object Detection and Tracking in the MPEG Compressed Domain
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DOI：
10.1109/cbmi.2009.33
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发表时间：
2009-06
期刊：
影响因子：
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通讯作者：
T. Yokoyama;Toshiki Iwasaki;Toshinori Watanabe
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文献类型：
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作者：
T. Yokoyama;Toshiki Iwasaki;Toshinori Watanabe
随着MPEG标准的流行，处理MPEG压缩视频的机会增加，并且可以直接处理压缩视频的视频索引和管理变得重要。MPEG视频编码标准使用运动补偿来压缩视频数据，并且运动补偿生成包含与不同帧中的区域之间的光流类似的运动信息的运动矢量。虽然运动矢量对于视频分析是有用的，但是它们并不总是沿着运动对象沿着生成，并且仅使用这些矢量难以分析运动对象。本文提出了一种基于MPEG压缩域的运动目标检测与跟踪方法，用于视频监控与管理。在我们的方法中，我们引入图像，记录移动区域和积累不移动的区域，其中移动对象预计存在于当前帧之后。通过利用这些图像，我们可以只使用运动矢量来检测和跟踪运动对象，即使运动对象的运动矢量由于其行为而变为零矢量并且由于其图片类型而丢失。我们证明了所提出的方法的有效性，通过几个实验，使用实际的MPEG视频摄像机获得的视频。
As MPEG standards prevail, the opportunities to handle MPEG compressed videos increase, and the video indexing and management that can directly process the compressed videos become important. MPEG video coding standards use motion compensation to compress video data, and the motion compensation generates motion vectors that contain motion information similar to optical flows between regions in different frames. Although motion vectors are useful for video analysis, they are not always generated along moving objects, and it is difficult to analyze moving objects using only these vectors. In this paper, we propose a moving object detection and tracking method in the MPEG compressed domain for video surveillance and management. In our method, we introduce images that record moving regions and accumulate unmoving regions in which the moving objects are expected to exist after the current frame. By utilizing these images, we can detect and track moving objects using only motion vectors even if the motion vectors of moving objects become zero vectors due to their behaviors and are lost due to their picture type. We demonstrate the effectiveness of the proposed method through several experiments using actual videos acquired by an MPEG video camera.