A Review Paper On Video Surveillance System and Proposal to Enhance Existing Surveillance System

In surveillance systems the videos recorded may not be clear and high quality, if they are recorded in low illumination background or in bad weather conditions like fog or rain. So there can be a fast and effective method of getting cleared and enhanced images from surveillance videos under said conditions, where we can get a good visual quality images from acquired videos with motion detection and processing these images through illumination adjustment, haze detection and haze removal algorithms in FPGA. The system can be useful in highly sensitive places like banks, shopping malls and high way transportation, where constant monitoring is required. Accordingly a rigorous literature review has been carried out and eventually it has been concluded that processing these images by image processing algorithms in FPGA increases speed of operation and is low cost in nature.