Mesoscale Convective Systems are group of convective clouds extending over hundreds of kilometers in one direction. These cloud systems are responsible for most of the precipitation and severe weather conditions causing significant damage to property and loss of life. Therefore it is essential to study patterns of MCS occurrence. Global warming and increasing pollution also varies MCS patterns resulting in extreme weather conditions causing heavy rain and floods. MCS detection and tracking are important steps for studying its characteristics pattern. MCS are detected based on cloud temperature and its size thresholds. In this paper various MCS detection and tracking methods are surveyed and discussed citing their benefits, limitations and research directions. Presented work will help new researchers to understand current ongoing research related to MCS in combination with other weather phenomenon such as precipitation, storms and atmospheric circulations. Methods surveyed in this paper are based on satellite IR image dataset. © 2019 IEEE.