Video surveillance systems play an important role in many civilian and military applications, for the purposes of security and surveillance. Object detection is an important component in a video surveillance system, used to identify possible objects of interest and to generate data for tracking and analysis purposes. A video surveillance system is presented here which incorporates a novel motion detection approach using a biologically inspired vision system, within a hardware solution, for enhanced object tracking performance. This method is compared with a traditional object detection approach. This initial investigation determined that the biological vision system is robust in detecting objects representative of actual ground truth values under various complex lighting conditions. The system has shown enhanced capability by reducing false track confirmation rates (at least one order of magnitude) and achieving high confirmation rates of objects of interest within independent video data sets. An effective tracking solution has been achieved through the implementation of the biologically-inspired vision system as an enhancement to object detection.