低对比度小目标检测与跟踪算法的研究是电视跟踪领域的关键技术之一。
Detection of small target with low contrast and the research for tracking algorithm is one of the key techniques in TV tracking field.
基于红外序列图像中小目标的典型特征，提出了一种新的红外小目标检测与跟踪算法。
Based on the typical feature of small target in sequence infrared images, a new algorithm is proposed for detecting and tracking small targets in sequence images.
为了能在强杂波、低信噪比的情况下检测小目标，人们提出了许多针对小目标检测与跟踪的方法。
This paper proposes a multi-clue based facial feature detection and tracking method to deal with these problems.
红外序列图像运动小目标检测技术，是红外搜索与跟踪系统的一项核心技术，也是现代研究领域的一大难题。
The detection of small moving targets in infrared image sequences is one of the critical technologies of infrared Search and Tracking System (IRST).
针对复杂天空背景下弱点目标的检测与跟踪，提出了一种利用多窗口、小尺度、多次差影融合点目标图像的快速检测与跟踪方法。
In order to detect and track dim-point targets under the complex background of sky, a high speed method is put, which uses multiwindow, little yardstick, repetitious subtracting and fusing images.
针对图像序列中红外弱小目标的检测与跟踪中遇到的难点，即信噪比低、帧间相对位移小等问题，提出一种基于小波提升框架及小波能量的目标检测算法。
To solve the difficulties in dim target detection, such as low SNR and small-scale displacement, a new automatic target detection algorithm based on lifting scheme and wavelet energy is proposed.
针对图像序列中红外弱小目标的检测与跟踪中遇到的难点，即信噪比低、帧间相对位移小等问题，提出一种基于小波提升框架及小波能量的目标检测算法。
To solve the difficulties in dim target detection, such as low SNR and small-scale displacement, a new automatic target detection algorithm based on lifting scheme and wavelet energy is proposed.
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