Moving Object Detection for Real-Time Applications
Lucia Maddalena, Alfredo Petrosino · 2007
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and back-ground components, detecting moving objects provides a fo-cus of attention for recognition, classification, and activity analysis, making these later steps more efficient. We present some extensions to the method for moving ob-ject detection presented in [4]. Our main contributions are related to the pre-processing of intermediate results (tran-sience maps), aimed at enhancing the accuracy of detec-tion results, and to the parallelization of some of the most computationally intensive steps using SSE2 instructions, in order to enhance efficiency and allow for real-time applica-tions. 1.