Human behaviour analysis is the active area of research in computer science and engineering which determines the behaviour of humans using various algorithms. The input can be taken from the real time environment to analyze the human predictions. Deep learning plays a vital role as the input data involves a lot of computational images and spatial and temporal information upon which the predictions can be made. In this paper, we discuss the various techniques, concepts and algorithms that are implemented on a various field of image analysis and on real world input data to visualize the behaviour of a human.