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。
Experimental results show that the lane detection and the moving object detection and tracking algorithm in this paper are robust, efficient and suitable for real-time processing.
实验结果表明，本文提出的车道检测和车辆识别与跟踪方法是可行的，能够满足系统实时性和准确性的要求。
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