Machine learning based Smart Surveillance System

In modern cities video surveillance becomes an important part for protection and security. In modern cities for security and protection smart cameras equipped with intelligent analysis of video can monitor events and give alert system by capturing abnormal activities and events. Now a day's there are many cameras have been equipped for surveillance in all over world. So we are going to implementation focus on video surveillance by giving video contents containing early fire events detection, abnormal activities and smart parking system and crowd estimation. We are going to overcome existing drawbacks of post investigation techniques of video surveillance systems by providing alert generation system. Our work is based on machine learning techniques for video analysis with better performance and event detection with advantages of alert generation.