LoPP: Locality Preserving Projections for Moving Object Detection

Abstract

AbstractAutomatic moving object detection and tracking is very important task in video surveillance applications. In this paper, we propose a novel scheme for moving object detection based on Locality Preserving Projections (LPP). It is also known as Laplacian eigenmaps, which optimally preserves the neighborhood structure of the data set [1]. The proposed method was tested on standard PETS dataset and many real time video sequence and the results was satisfactory