In the modern world finding accurate and efficient object detection for advancement in computer vision systems has been an integral part. • With the arise of faster and more accurate deep learning techniques the prediction for finding a good and accurate model has been justified. • In our project, we are primarily aiming to incorporate state- of- art technique for object detection with the goal of achieving higher accuracy in our MOT challenge project. • Different models were trained and the higher accuracy was achieved using faster RCNN.