Human Anomaly Detection using Deep Learning

Human Anomaly Detection can be used in order to identify thefts, terrorist attacks, fighting, and fires susceptible areas including banks, parking areas, hospitals, shopping malls, universities, colleges, schools, borders, airports, bus railway stations, etc. Video surveillance crowded anomalies analyse human behaviour detect theft vandalism. It will also help prevent inappropriate such as fighting among humans by monitoring the perimeter of location, for safety people. monitor suspicious activity places.