Feature point extraction and tracking method is an important contents to studying imaging-based target tracking, and avails to the research on target identification, maneuver detection and so on.
特征点的提取和跟踪是基于图像的目标跟踪技术研究中的一项重要内容，对目标识别、机动检测等有着重要意义。
The paper mainly researches the weak point moving target detection and tracking technology in the infrared image, introduced the domestic and foreign research dynamic and obtain achievement.
本文系统的研究了红外图像中微弱点状运动目标的检测及跟踪技术，介绍了国内外的研究动态和取得的成果。
A lot of low altitude objects and the characteristics of point target make the detection and tracking even harder.
大量的低空背景景物以及点目标的特点——远距离、低信噪比、强杂波等，增加了目标检测和跟踪的难度。
Possibilites of the capture of high speed motion target realized by step-by-step method and multi-targets recognition tracking achieved by drifting off its tracking zero point were proposed.
提出了用步进法实现快速运动目标的捕获和在跟踪过程中用拉偏跟踪零点的方法实现多目标识别跟踪的可能性。
How to realize underwater multi-target orientation and tracking technique has become a key point to satisfy the requirement of new type underwater homing vehicle.
水下多目标定位和跟踪技术的实现已成为新型水下自导系统的关键和迫切需要解决的问题。
The target recognition and tracking in image is the basic task and the choke point in image-guidance technology.
图像中待攻击目标的自动识别与跟踪锁定是图像制导的基本任务，也是图像制导技术的难点所在。
A new algorithm is proposed for tracking moving point-source target in a image sequence. It combines motion analysis and multistage hypothesis tracking.
文中提出了将图像流分析与多级假设检验算法相结合的红外序列图像中运动点目标的检测方法。
A new algorithm is proposed for tracking moving point-source target in a image sequence. It combines motion analysis and multistage hypothesis tracking.
文中提出了将图像流分析与多级假设检验算法相结合的红外序列图像中运动点目标的检测方法。
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