Shadow detection for moving objects based on texture analysis
Year: 2007
Authors: Leone A., Distante C.
Autors Affiliation: CNR, IMM, I-73100 Lecce, Italy
Abstract: This paper presents a new approach for shadow detection of moving objects in visual surveillance environment, improving localization, segmentation, tracking and classification of detected objects. An automatic segmentation procedure based on adaptive background difference is performed in order to detect potential shadow points so that, for all moving pixels, the approach evaluates the compatibility of photometric properties with shadow characteristics. The shadow detection approach is improved by evaluating the similarity between little textured patches, since shadow regions present same textural characteristics in each frame and in the corresponding adaptive background model. In this work we suggest a new approach to describe textural information in terms of redundant systems of functions. The algorithm is designed to be unaffected by scene type, background type or light conditions. Experimental results validate the algorithm
Journal/Review: PATTERN RECOGNITION
Volume: 40 (4) Pages from: 1222 to: 1233
KeyWords: videosurveillance; shadow detection; texture analysis; frame theory; Gabor dictionariesDOI: 10.1016/j.patcog.2006.09.017ImpactFactor: 2.019Citations: 138data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2024-09-29References taken from IsiWeb of Knowledge: (subscribers only)Connecting to view paper tab on IsiWeb: Click hereConnecting to view citations from IsiWeb: Click here