This thesis focuses on moving object detection and tracking in MPEG-compressed videos.
本文重点研究了在MPEG压缩视频流中的运动目标检测与跟踪问题。
Moving object detection and tracking in video sequences based on boundary vector field;
本论文的主要工作是研究动态背景下的运动目标检测和跟踪。
The work in this paper is mainly how to classification of foreground and background effectively using fusion of multiple features in the moving object detection and tracking.
本文主要工作针对运动目标检测和跟踪中的问题，研究运用多特征融合以更有效的完成前景运动目标和背景的分类。
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