Low Bit-Rate Motion Block Detection for Uncompressed Indoor Surveillance

Abstract

A large number of surveillance applications requires narrow channel transmission and limited capacity storage, since very low bit-rate techniques becomes necessary. For many surveillance applications, motive objects contain most interest information. This paper proposed an enhanced motion block detector, which includes a pre-stage for adaptively classifying macroblocks into motive and static blocks. In this pre-stage, linear divided difference filter and weighted erosion filter are proposed to release from the foreground clash and lightening noise respectively. For the unimportant static macroblock, low bit-rate skip mode has been chosen as the best mode. Simulation results shows, compared to the conventional work, it can achieve 24%-38% bit-rate saving, 8%-44% ME time saving and higher detection accuracy for uncompressed surveillance videos.