کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
534744 870284 2009 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
CamShift guided particle filter for visual tracking
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
CamShift guided particle filter for visual tracking
چکیده انگلیسی

In this article, a novel algorithm – CamShift guided particle filter (CAMSGPF) – is proposed for tracking object in video sequence. CamShift is incorporated into the probabilistic framework of particle filter as an optimization scheme for proposal distribution. Meanwhile, in the context of particle filter, the scale adaptation of CamShift is improved and the computation complexity is reduced. It is demonstrated through several real tracking tasks that the new method performs better than baseline trackers in both tracking robustness and computational efficiency.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 30, Issue 4, 1 March 2009, Pages 407–413
نویسندگان
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