Abstract
In modern days there are lots of improvements on digital cameras and their capability. But it may struggle while capturing videos under low lighting conditions. Night video enhancement is important for meet those limitations and for getting visual pleasing videos and there by making easier for video analysis and object detection and tracking. There are different low light video enhancement approaches that are either self enhancement or fusion based enhancement. This paper focuses on fusion based enhancement includes background model creation, object detection and its enhancement. It creates much more visual perception for the video in terms of the overall lighting such as static illumination, color maintanance and object tracking. Experimental results and quality metrics are analyzed to show the effectiveness of the algorithm.
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