GPU-Accelerated Background Generation Algorithm with Low Latency

A background model is constructed to detect moving objects in video sequences. Subsequent frames are stacked on top of each other using associated registration information that must be obtained in a preprocessing step. The change of the brightness value in each pixel over time might be caused by a moving object. Current graphics processing units (GPUs) have proven to be very capable parallel processing architectures which can outperform current CPUs by an order of a magnitude. This paper will present how current GPUs can be used to rapidly construct background models from a sequence of video still frames. We will specifically discuss how the implementation can benefit from special features of GPUs that are available in the graphics API OpenGL.