Motion Object Detection and Tracking in long Distance Imaging through Turbulent Medium

This paper represents, automatic detection and tracking of moving objects such as people and vehicles through relatively long distances are important computer applications, but still are very challenging tasks, because of the effects of the atmospheric path, which induces turbulence caused movements in the scene and also blurs the video sequence. Such degraded videos may increase the miss detection (false negative) and false detection (false positive) rates. There are numerous methods for detecting and tracking moving objects in both static and non static environments but only a few methods having specific features with background movements caused by atmospheric turbulence which may have unique characteristics straight forward background subtraction method is not directly used in turbulence medium so we proposed method for detecting and tracking moving objects significantly degraded for atmospheric effects.