Shadow detection for moving objects based on texture analysis
Anno: 2007
Autori: Leone A., Distante C.
Affiliazione autori: 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
Giornale/Rivista: PATTERN RECOGNITION
Volume: 40 (4) Da Pagina: 1222 A: 1233
Parole chiavi: videosurveillance; shadow detection; texture analysis; frame theory; Gabor dictionariesDOI: 10.1016/j.patcog.2006.09.017Citazioni: 137dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2024-05-12Riferimenti tratti da Isi Web of Knowledge: (solo abbonati) Link per visualizzare la scheda su IsiWeb: Clicca quiLink per visualizzare la citazioni su IsiWeb: Clicca qui