Moving Object Detection and Separation Based Smart Video Surveillance System

Safety and security are the most important points in the transportation field. Installation of Smart video surveillance system is the effective way to have safety protection on roads. Vision-based surround perception has progressed from its infancy into maturity. This work includes the video surveillance system for railway transportation system at Level Crossing (LC) environments. Latest security initiatives in the field of railway transportation propose to implement video surveillance at level crossing (LC) environments. This work additionally proposes that lane detection to be implemented to increase the accuracy of the system to detect the moving objects. This system is tuned for detecting & evaluating abnormal situations induced by users (pedestrians, vehicle drivers, and unattended objects) in LCs. This system firstly detects and then separates the moving objects shot in LC. The method starts by detecting pixels affected by motion as a pre-treatment phase. Once the targets are extracted from the current frame, the objective is to track them. The proposed analysis allows for also recognizing hazard scenarios.