IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 10, 2015 | ISSN (online): 2321-0613

Abstract

Person detection in a video surveillance system is major concern in real world. Several application likes abnormal event detection, congestion analysis, human gait characterization, fall detection, person identification, gender classification and for elderly people. In this algorithm, we use GMM method in background subtraction for multi person detection because of Gaussian Mixture Model (GMM) model is one such popular method this give a real time object detection. There is still not robustly but Multi person tracking with shadow removal fill this gap, in this work, HOG-LBP hybrid approach with GMM algorithm is presented for Multi person tracking with Shadow removal.

Topics

    3 Figures and Tables

    Download Full PDF Version (Non-Commercial Use)