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文件名称:Vehicle Detection and Tracking in Car Video Based on Motion Model
文件大小:1.56MB
文件格式:PDF
更新时间:2014-11-04 03:17:04
Vehicle Detection Tracking Motion
Vehicle Detection and Tracking in Car Video Based on Motion Model--This work aims at real-time in-car video analysis to detect and track vehicles ahead for safety, auto-driving, and target tracing. This
paper describes a comprehensive approach to localize target vehicles in video under various environmental conditions. The extracted
geometry features from the video are projected onto a 1D profile continuously and are tracked constantly. We rely on temporal
information of features and their motion behaviors for vehicle identification, which compensates for the complexity in recognizing
vehicle shapes, colors, and types. We model the motion in the field of view probabilistically according to the scene characteristic and
vehicle motion model. The Hidden Markov Model is used for separating target vehicles from background, and tracking them
probabilistically. We have investigated videos of day and night on different types of roads, showing that our approach is robust and
effective in dealing with changes in environment and illumination, and that real time processing becomes possible for vehicle borne
cameras.
网友评论
- 研究研究,看看。
- 正在研究,比较详细的文章
- 似乎很有含金量的一篇论文。
- 非常好的论文, 算法的描述,实验结果的数据都很详细
- 正在研究车辆检测,下载下来阅读一下
- 目前正学习车辆检测方面,文档描述得比较深刻,检测和跟踪采用的算法值得借鉴