With the growing use of radar sensors, particularly in surveillance applications, there is an increasing need for real-time target tracking, especially in areas such as counting people. This paper offers a detailed description of the hardware setup, which is paired with a proposed fusion algorithm and the multiple-target tracking (MTT) algorithm for online target tracking. The fusion techniques introduced in this work combine data from spatially distributed Texas Instruments mmWave radar sensors by utilizing the likelihood of radar measurements. These sensors measure the positions of the reflectors, which are then visualized through the Robot Operating System (ROS). To support real-time target tracking and people counting, a connection is established between the ROS network and MATLAB. Finally, the measurements are processed in MATLAB using the proposed fusion technique alongside the existing MTT algorithm to generate accurate target tracks, which also enable people counting.