Measuring the time and length of evaporation of fuel droplets provides a better understanding of the dynamics of spray dynamics. However, when a drop evaporates it is increasingly difficult to detect them and therefore it is difficult to track them with a PTV algorithm. To solve this problem, we have adapted classical PTV algorithms by exploiting the image of the drop at frame N to find it in frame N+1. The images collected for the PTV are also used to measure the physical size of the drops by ILIDS. We applied this new algorithm to a counter-current burner with dodecane droplets evaporating on an air-methane flame. The velocity field surrounding the droplets was measured by PIV and the temperature field by Rayleigh measurement. The treatment of the data collected during the experiment shows that the PTV algorithm succeeded in following the droplets during all their evaporation phase which would have been very difficult for a classical PTV algorithm. Moreover, since droplets evaporate in a high temperature environment, it is impossible to track their physical size from ILIDS, therefore the follow-up of the droplet during its all evaporating phase was key.