@inproceedings{allili_effective_2009,

title = {Effective object tracking by matching object and background models using active contours},

author = {M. S. Allili},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951940408&doi=10.1109%2fICIP.2009.5414279&partnerID=40&md5=6838bb85dbef6c9548684a506df3d2b2},

doi = {10.1109/ICIP.2009.5414279},

isbn = {15224880 (ISSN); 978-142445654-3 (ISBN)},

year  = {2009},

date = {2009-01-01},

booktitle = {Proceedings - International Conference on Image Processing, ICIP},

pages = {873–876},

publisher = {IEEE Computer Society},

address = {Cairo},

abstract = {In this paper, we propose an effective approach for tracking distribution of objects. The approach uses a competition between a tracked objet and background distributions using active contours. Only the segmentation of the object in the first frame is required for initialization. We evolve the object contour by assigning pixels in a fashion that maximizes the likelihood of the object versus the background. This maximization is implemented using an EM-like algorithm, which evolves the object contour exactly to its boundaries, and adapts the parameters of the object and background distributions. ©2009 IEEE.},

note = {Journal Abbreviation: Proc. Int. Conf. Image Process. ICIP},

keywords = {Active contours, Algorithms, Background model, EM algorithm, EM algorithms, Finite mixture models, Image matching, Image processing, Imaging systems, Mathematical models, Object contour, Object Tracking},

pubstate = {published},

tppubtype = {inproceedings}

}