Multiple Events Detection Using Context-Intelligence Features

Event detection systems are mainly used to observe and monitor human behavior via red green blue (RGB) images videos. using RGB is one of the challenging tasks current era. Human detection, position orientation body parts in a critical phase for numerous models. In this research article, by extracting context-aware energy features event recognition described. For this, silhouette extraction, estimation parts, extracted. To optimize context-intelligence vector, we applied an artificial intelligence-based self-organized map (SOM) while genetic algorithm (GA) multiple detection. The experimental results on video-based datasets were promising. Three used. accuracy rates University central Florida’s (UCF) dataset 88.88% 86.75% respectively. 90.0% 87.37% achieved over Texas (UT) dataset. 87.89% 85.87% sports videos wild (SVW) proposed system performs better than other state-of-the-art approaches terms outcomes.