Work place: Department of Computer Science, Djillali Liabes University, Sidi Bel-Abbes, Algeria
Research Interests: Image Processing, Image Manipulation, Image Compression, Computer Vision
Mohamed ELBAHRI received the Dipl.Ing. in computer science and Magister degree in electronic departement from Djillali Liabes University, Sidi Bel-Abbes, Algeria, and is currently a Ph.D. candidate in computer science. His principle research interests are in the fields of computer vision and image processing.
DOI: https://doi.org/10.5815/ijigsp.2015.08.01, Pub. Date: 8 Jul. 2015
Multi-object tracking is a challenging task, especially when the persistence of the identity of objects is required. In this paper, we propose an approach based on the detection and the recognition. To detect the moving objects, a background subtraction is employed. To solve the recognition problem, a classification system based on sparse representation is used. With an online dictionary learning, each detected object is classified according to the obtained sparse solution. Each column of the used dictionary contains a descriptor representing an object. Our main contribution is the representation of the moving object with a descriptor derived from a novel representation of its 2-D position and a histogram-based feature, improved by using the silhouette of this object. Experimental results show that the approach proposed for describing moving objects, combined with the classification system based on sparse representation provides a robust multi-object tracker in videos involving occlusions and illumination changes.[...] Read more.
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