Video sequence motion tracking by fuzzification techniques

• Published in: Applied soft computing Vol. 10; no. 1; pp. 318 - 331
• Main Authors: Moreno-Garcia, Juan, Rodriguez-Benitez, Luis, Fernández-Caballero, Antonio, López, María T.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2010
• Subjects: Fuzzy sets; Motion analysis; Permanency values; Segmentation; Tracking; Fuzzy sets; Tracking; Segmentation; Permanency values; Motion analysis
• ISSN: 1568-4946; 1872-9681; 1872-9681
• DOI: 10.1016/j.asoc.2009.08.002

In this paper a method for moving objects segmentation and tracking from the so-called permanency matrix is introduced. Our motion-based algorithms enable to obtain the shapes of moving objects in video sequences starting from those image pixels where a change in their grey levels is detected between two consecutive frames by means of the permanency values. In the segmentation phase matching between objects along the image sequence is performed by using fuzzy bi-dimensional rectangular regions. The tracking phase performs the association between the various fuzzy regions in all the images through time. Finally, the analysis phase describes motion through a long video sequence. Segmentation, tracking an analysis phases are enhanced through the use of fuzzy logic techniques, which enable to work with the uncertainty of the permanency values due to image noise inherent to computer vision.