Real Time Moving Object Detection for Video Surveillance in Presence of Low Illumination-Cloudy Environment

Object Detection and Tracking is one of the important applications of computer vision nowadays. Indoor/Outdoor visual surveillance is most important concern in today's scenario. Indoor/Outdoor surveillance system is used to monitor the various security related problems inside and outside home, companies, shopping malls etc. Video Enhancement in cloudy environment is a computer vision task that involves improving the quality of images captured under low-light conditions. The goal of low-light image enhancement is to make images brighter and clearer. Various object detection methods are available but Basic Background subtraction method is widely used to detect the object from the image and video. This paper proposed a system which uses Guided filter along with BBS method to enhance the quality of video captured during surveillance in low light.