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BACKGROUND NORMALIZATION AND TEXTURE PATTERN-BASED VIDEO SEGMENTATION FOR VISUAL TRACKING
2017
International Research Journal of Pharmacy
Visual tracking is the task of estimating the path of a target object in each frame of the video. Various tracking approaches are developed for tracking the position of the target. However, the tracker may fail to find the correct position, if the appearance of the target is similar to the background. This paper proposes a background normalization technique based on the textural pattern analysis to verify the matching of the features for the target region analysis. In this work, a novel model
doi:10.7897/2230-8407.0811239
fatcat:vbcgn5oiarcttd56g3nwnijyri