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Human motion detection and tracking
Author(s): Neziha Jaouedi; Soumaya Zaghbani; Noureddine Boujnah; Mohamed Salim Bouhlel
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Paper Abstract

Human behavior analysis in a video scene is based on motion feature extraction and recognition, many information is hidden behind gesture, sudden motion and walking, many research works tried to model and then recognize human behavior through motion analysis. In our work we will focus on motion extraction and tracking with some enhancements comparing to previous approaches. The first phase of behavior analysis is the extraction of regions in the video in motion. The second phase is devoted to motion tracking using Kalman filter. Performances evaluation are based on both visual quality and numerical values of MSE(Mean Squared Error).

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034106 (17 March 2017); doi: 10.1117/12.2268539
Show Author Affiliations
Neziha Jaouedi, Ecole Nationale d'Ingénieurs de Tunis (Tunisia)
Soumaya Zaghbani, Ecole Nationale d'Ingénieurs de Tunis (Tunisia)
Noureddine Boujnah, Ecole Nationale d'Ingénieurs de Tunis (Tunisia)
Mohamed Salim Bouhlel, Institut Supérieur de Biotechnologie de Sfax (Tunisia)


Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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