کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4969024 | 1365248 | 2016 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using the conflict in Dempster-Shafer evidence theory as a rejection criterion in classifier output combination for 3D human action recognition
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In this paper, we propose a comprehensive solution to 3D human action recognition including feature extraction, classification, and multiple classifier combination. We effectively present two feature extraction methods, four different types of well-known classifiers, and four multiple classifier combination strategies including a specially designed belief based method. In order to enhance the recognition accuracy, we propose a new rejection criterion based on the conflict from the information sources: the classifier outputs. We test our method on the MSRAction 3D dataset. Discarding examples using the conflict based criterion shows superior results than other combination approaches. Moreover this criterion allows choosing a tradeoff between the performance and rejection rate.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Image and Vision Computing - Volume 55, Part 2, November 2016, Pages 149-157
Journal: Image and Vision Computing - Volume 55, Part 2, November 2016, Pages 149-157
نویسندگان
Alexandre Perez, Hedi Tabia, David Declercq, Alain Zanotti,