Monitoring objects of interest and obtaining their clear visual appearances are critical requirements for outdoor maintenance tasks and surveillance systems. The difficulties while processing outdoor images are the presence of haze, fog or dust which fades the colours and reduces the contrast of the observed objects. Under bad weather conditions, the light is severely scattered by the atmosphere and images of railway track, coal mine, aviation etc. become degraded.

This paper implements a technique for restoring the visibility of weather degraded videos and to detect and track the objects in foggy weather. It has been concluded in the paper that with the application of visibility enhancement algorithm the PSNR for low foggy images is more as compared to high foggy images. Further, the error rate is less for low foggy images. The real time application of the work is to detect objects from the enhanced foggy video that can be used for outdoor operation and maintenance tasks monitoring.