摘要
实时图像序列空中微小目标的检测和跟踪,采用基于对比度跟踪算法。其目标检测通过确定跟踪区域、分割目标等步骤先减少噪声影响,使图像对比度增强,把目标从背景中突显出来。同时,采用相应的目标识别及跟踪、记忆跟踪等方法,计算图像的目标预计位置,并附之以形状匹配。试验证明,该算法满足微小目标跟踪要求。
The tracking and detection of tiny aerial target in real-time image sequence are based on contrast tracking algorithm. The target detection reduces the noise, enhances the image＇s contrast, and extrudes the target from background through making sure of tracking region and dividing target. At the same time, the corresponding target reorganization method, tracking method and memory tracking method were adopted to calculate the target predicated position of images, and match figures. The test proved that the method could satisfy the demands of tiny target tracking.
出处
《兵工自动化》
2006年第5期63-64,67,共3页
Ordnance Industry Automation
关键词
空中微小目标
对比度跟踪
实时图像
检测
Tiny aerial target
Contrast tracking
Real-time image
Detection
