Human Violence Detection Using LHOGF Algorithm and Deep Learning Model

A minor action of human is performed with some purpose. Understanding the behavior and the way to interact of human with environment in automatic way has attained a lot of attention in research field over past few years due to its potential in diverse domains. Several applications such as intelligent video surveillance and for monitoring the environmental home, for storing and retrieving the video etc. are related to the domain of recognizing the human activity. The human violence is detected in several stages in which the data is pre-processed, features are extracted, and the data is classified. This research introduces a deep learning algorithm for predicting the human violence. Python is executed to simulate the introduced algorithm and diverse metrics such as precision, and recall are considered to analyze the outcomes. The proposed model shows significant high performance as compared to existing model.