2D and 3D multiple object tracking, is an open problem inside the computer vision community with multiple applications in the industry such as in the autonomous vehicles or in the sport field. Many works have been conducted in the past to solve and improve this task, especially for person tracking due to its greater interest. Recently, the deep learning techniques have been able to beat the state of the art in tasks such as image classification, object detection or 3D pose estimation. Thus, this work has made use of deep learning methods to build a 2D and 3D tracking applications. These techniques are combined with a tracking by detection scheme to perform the tracking and achieve a good result.