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Multiple cues-based active contours for target contour tracking under sophisticated background / Peng Lv in The Visual Computer, vol 33 n°9 (September 2017)  

Public [article]  inThe Visual Computer > vol 33 n°9 (September 2017) . - pp 1103 - 1119 Titre : Multiple cues-based active contours for target contour tracking under sophisticated background Type de document : Article/Communication Auteurs : Peng Lv, Auteur ; Qingjie Zhao, Auteur ; Yanming Chen, Auteur ; Liujun Zhao, Auteur Année de publication : 2017 Article en page(s) : pp 1103 - 1119 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] couleur (variable spectrale) [Termes IGN] détection de contours [Termes IGN] séquence d'images [Termes IGN] texture d'image [Termes IGN] traçage [Termes IGN] vidéo numérique Résumé : (auteur) In this paper, we propose a novel target contour tracking method under sophisticated background using the multiple cues-based active contour model. To locate the target position, a contour-based mean-shift tracker is designed which combines both color and texture information. To reduce the adverse impact of sophisticated background and also accelerate the curve motion, we propose a two-layer-based target appearance model that combines both discriminative pre-learned-based global layer and voting-based local layer. The proposed appearance model is able to extract rough target region from the complex background, which provides important target region information for our active contour model. We subsequently introduce a dynamical shape model to provide prior target shape information for more stable segmentation. To obtain accurate target boundaries, we design a new multiple cues-based active contour model which integrates with target edge, discriminative region, and shape information. The experimental results on 30 video sequences demonstrate that the proposed method outperforms other competitive contour tracking methods under various tracking environment. Numéro de notice : A2017-406 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s00371-016-1268-2 En ligne : https://doi.org/10.1007/s00371-016-1268-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86286 [article]