The vision-based construction progress monitoring process is a technique that provides vital information on the status of the construction process to make important decisions by getting the vision dataset as an input acquired through various methods. This technique aims at reducing labor-intensive tasks involved in the traditional construction progress monitoring process which makes it accurate and provides the timely status of any potential delays. This paper presented the findings of the literature review conducted to identify the process for automated vision-based construction progress monitoring. This review identifies four key processes involved in the vision-based construction progress monitoring process i.e., data acquisition, information retrieval, progress estimation, and visualization of output. It furthers reports the detail of various methods and techniques involved in these four distinct processes and accesses these methods and techniques for the level of automation provided by each to realize the viability of the automated vision-based process. This paper concludes by providing a re-engineered process for automated vision-based construction monitoring to be an alternative to traditional progress monitoring techniques.