Jitter invariant incremental principal component pursuit for video background modeling on the TK1
Gustavo Silva, Paul Rodríguez · 2015
While Principal Component Pursuit (PCP) is currently considered to be the state of the art method for video background modeling, it suffers from a number of limitations, including high computational cost, batch operating mode, and sensitivity to camera jitter. In this work we present a real-time, CUDA-aware C / CUDA C implementation of a novel and fully incremental PCP algorithm for video background modeling that can also deal with rigid transformation jitter. Our implementation has a computational complexity that allows (TK1 platform) a processing frame rate throughput (jittered video) of 2.6 and 0.4 f.p.s. for color videos of 640 × 480 and 1920 × 1088 respectively.