Abstract: Gaussian Mixture Model background subtraction (GMM) method is nowadays used in many moving object detection applications. This pixel wise approach ...

In this work, we propose an efficient parallel implementation of GMM algorithm on single core Intel platforms through vectorization technique [3]. This is ...

The advantage of the GMM algorithm can show multi-mode changes in pixel values, account lighting changes, repetitive space movements and scene changes in real ...

Single core SIMD parallelization of GMM background subtraction algorithm for vehicles detection. Lhoussein Mabrouk (1) , Dominique Houzet (1) , Said Belkouch ...

Efficient parallelization of GMM background subtraction algorithm on a multi-core platform for moving objects detection. L Mabrouk, S Huet, D Houzet, S Belkouch ...

Efficient parallelization of GMM background subtraction algorithm on a multi-core platform for moving objects detection ; Lhoussein Mabrouk at Université ...

Single Core SIMD Parallelization of GMM Background Subtraction Algorithm for Vehicles Detection. CIST 2018: 308-312; 2015. [c1]. view. electronic edition via ...

Single Core SIMD Parallelization of GMM Background Subtraction Algorithm for Vehicles Detection ... background subtraction algorithm on an embedded multi-core ...

Single Core SIMD Parallelization of GMM Background Subtraction Algorithm for Vehicles Detection. 2018 IEEE 5th International Congress on Information Science ...

Efficient parallelization of GMM background subtraction algorithm on a multi-core platform for moving objects detection. L Mabrouk, S Huet, D Houzet, S Belkouch ...