Deep Learning Methodologies for Object Motion Recognition

Algorithms to identify an object have been implemented in day-to-day life. However, there is no sufficient study and approach for object motion recognition. It is very important to identify the movement of a particular object. An object may be moving vehicles or human beings. Hence, we identified the problems in object motion detection research. This chapter proposes LSTM a recurrent neural network with the residual learning algorithm to identify an object motion recognition. A proper study on deep learning algorithms has been done, this study includes ANN, CNN, RNN, and the extended versions of deep neural networks. Finally, this chapter concludes with the experimental results of object motion recognition by implementing the proposed methodology.