Low cost, coupled with weight reduction and consequent increase in efficiency, reaching the same desirables levels of mechanical strength, has seduced several industry sectors to expand the use of thermoplastic polymers in their final products. Within these sectors, the increase in volume of polymer has not only grown in general use, but also in structural applications. Thus, in order to ensure their proper properties in work, the detailed knowledge of the mechanical behavior of these materials is necessary and the use of constitutive models for the prediction of the final mechanical behavior becomes attractive. However, polymers are semi-crystalline materials that show complex deformation and failure mechanisms. Most of the polymers deform homogeneously until the yield point, but after, due to necking, the strain field becomes heterogeneous, making the use of classic experimental techniques, such as extensometry, inadequate. Among the most appropriate methods for the evaluation of polymers at large deformation, it is possible to highlight the digital image correlation (DIC). DIC technique allows the evaluation of local strain and is able to provide a complete description of the strain field, including the neck region. Despite the potential of DIC in polymers, its use is still incipient due to the recent development of the technique. Thus, the present work has the objective of evaluating the behavior of thermoplastic polymers under large deformation using DIC. Given the high cost of commercial DIC systems, a simple arrangement and procedure for the acquisition and analysis of the digital images was developed. In order to predict the mechanical behavior and to better understand the mechanisms of deformation involved, several constitutive models were also tested.