کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
529041 869627 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust tracking based on local structural cell graph
ترجمه فارسی عنوان
پیگیری شدید بر اساس نمودار سلولی ساختاری محلی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• The structural relationship between the local object parts is modeled.
• The tracked object is represented with a local structural cell graph.
• Object tracking task is formulated as graph matching within Bayesian framework.

Structure information has been increasingly incorporated into computer vision, however most trackers have ignored the inner spatial structure of the object. In this paper, we develop a simple yet robust tracking algorithm based on local structural cell graph (LSCG). This approach exploits both partial and spatial information of the target via representing the object with local structural cells (LSCs) and constructing a graph to model the spatial structure between the inner parts of the object. The tracking is formulated as matching LSCG, whose nodes are target parts and edges are the interaction between two parts. Within the Bayesian framework, we achieve object tracking by matching graphs between the reference and candidates. Eventually, the candidate with the highest similarity is the target. In addition, an updating strategy is adopted to help our tracker adapt to the fast time-varying object appearance. Experimental results demonstrate that the proposed method outperforms several state-of-the-art trackers.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 31, August 2015, Pages 54–63
نویسندگان
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