کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4969506 1449973 2018 50 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
On-line fusion of trackers for single-object tracking
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
On-line fusion of trackers for single-object tracking
چکیده انگلیسی
Visual object tracking is a fundamental function of computer vision that has been the object of numerous studies. The diversity of the proposed approaches leads to the idea of trying to fuse them and take advantage of their individual strengths while controlling the noise they may introduce in some circumstances. The work presented here describes a generic framework for combining and/or selecting on-line the different components of the processing chain of a set of trackers, and examines the impact of various fusion strategies. The results are assessed from a repertoire of 9 state-of-the-art trackers evaluated over 46 fusion strategies on the VOT 2013, VOT 2015 and OTB-100 datasets. A complementarity measure able to predict the overall performance of a given set of trackers is also proposed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 74, February 2018, Pages 459-473
نویسندگان
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