Author:
Cherif ALI Ouchar,Aristide Mankiti Fati,Leouro Mbaiossoum Bery,Ahmat Abakar Mahamat
Abstract
Motion recognition is one of the key applications of motion detection, which involves image processing. For this reason, the proposed work is merely an extension of the final year project. It will involve a detailed study of a method for automatic, real-time recognition of motion and identity in a video stream.Recognizing the suspicious movement of an object or person in an image is a major challenge in the field of camera-based surveillance. This recognition of suspicious object movement involves several phases: detection, tracking, creation of a database or vocabulary against which movements can be compared in order to be recognized and qualified as suspicious or not. In this work, we focus on the phase of detecting a moving object or person in a video sequence. We study a number of existing methods for detecting the movement of objects or people in a video sequence, in order to select the best among them for possible implementation.
Publisher
Granthaalayah Publications and Printers
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference15 articles.
1. Benabbas Siavosh (2012). Département d’Informatique, & Université de Toronto, Efficace. Sum-Based Hiérarchique Lissage Sous ell_1-Norm.
2. Benezeth, Y., Jodoin, P. M., Emile, B., Laurent, H., & Rosenberger, C. (2008). Review and Evaluation of Commonly Implemented Background Subtraction Algorithms. In Proceedings of the International Conference on Pattern Recognition, 1–4. https://doi.org/10.1109/ICPR.2008.4760998
3. Cucchiara, R., Grana, C., & Piccardi, M. (2001). Andrea Pratti et Stefano Sirotti: Improving Shadow Suppression in Moving Object Detection with HSV Color Information. Dans Intelligent Transportation Systems. IEEE Publications, 334–339.
4. Dalal, N., & Triggs, B. (2005). Histograms of Oriented Gradients for Human Detection. In IEEE Proceedings of the Conference on Computer Vision and Pattern Recognition, 886–893. https://doi.org/10.1109/CVPR.2005.177
5. Gobeau, J. F. (2007). Détecteurs de Mouvement à Infrarouge Passif (Dé- Tecteurs IRP). Colloque Capteurs.