An integrated framework for abnormal event detection and video summarization using deep learning

Video surveillance plays an emerging role for achieving intelligent transportation system for information extraction derived from the environment. The information extracted from real time scenario can be quite significant for detecting, classifying and summarization of abnormal events that includes investigations in video surveillance A number of researchers over the decades concentrated on the objective of detection, classification and summarization of abnormal events in reduced computational complexities and maximized event frame