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In modern cities video surveillance becomes an important part for protection and security. Smart cameras equipped with intelligent analysis of video can monitor events and give alert system by capturing abnormal activities and events. Nowadays there are many cameras equipped for surveillance in all over the world. So we are going to implement the system which focuses on video surveillance by giving video contents containing early abnormal activities like fall detection, car crash detection, fire detection. We are going to overcome existing drawbacks of post investigation techniques of video…mehr

Produktbeschreibung
In modern cities video surveillance becomes an important part for protection and security. Smart cameras equipped with intelligent analysis of video can monitor events and give alert system by capturing abnormal activities and events. Nowadays there are many cameras equipped for surveillance in all over the world. So we are going to implement the system which focuses on video surveillance by giving video contents containing early abnormal activities like fall detection, car crash detection, fire detection. 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.
Autorenporträt
Dr. Tejaswi Potluri ist eine gute Forscherin im Bereich Computer Vision. Sie hat 10 Veröffentlichungen in renommierten Fachzeitschriften wie Springer, Elsevier, Scopus und Web of Science. Sie hat viele Sitzungen in renommierten Hochschulen über Computer Vision, Videoverarbeitung und Lehr-Lern-Praktiken gehalten.