在彩色序列图像目标跟踪中，均值移位算法是一种有效的方法。
In the color image sequence, the mean shift algorithm is an efficient method for tracking object.
本论文主要研究视频序列图像中运动目标识别与跟踪的算法。
The thesis is focused on the study of algorithm for moving target recognition and tracking in video sequence images.
在红外动目标序列图像跟踪过程中，由于目标本身的红外特征具有较大的不可预测性，使A TR系统在目标探测阶段产生大量的虚警讯息。
In the course of tracking IR motive targets, a large number of false alarm signals might appear in the target detection stage of an IR ATR system because of the non-prediction of IR targets signature.
本文研究红外探测仪器产生的低信噪比序列图像中目标检测、识别及跟踪算法。
This paper proposes a new algorithm on dim target detecting, recognition and tracking from an image sequence produced by an IR sensor.
在目标特征提取识别算法的基础上，还提出了阈值预测分割算法，并应用在序列图像的跟踪中，取得了较好效果。
Base on the recognition arithmetic, a segmentation method by forecasting threshold is proposed. Using this segmentation method in image tracking, satisfying effect is gotten.
在目标特征提取识别算法的基础上，还提出了阈值预测分割算法，并应用在序列图像的跟踪中，取得了较好效果。
Base on the recognition arithmetic, a segmentation method by forecasting threshold is proposed. Using this segmentation method in image tracking, satisfying effect is gotten.
应用推荐