کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6941452 1450111 2018 29 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Motion descriptors for micro-expression recognition
ترجمه فارسی عنوان
توصیفگرهای حرکت برای تشخیص میکرو بیان
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
Micro-expression analysis is an interesting and challenging task in computer vision. It has inspired a series of possible applications in many areas such as police-criminal interrogation and important business negotiation. One of the most crucial step in a micro-expression recognition system is the extraction of well discriminating features. In this paper, we propose a new feature based on the fusion of motion boundary histograms (FMBH). This feature is generated by combining both the horizontal and the vertical components of the differential of optical flow as inspired from the motion boundary histograms (MBH). The proposed feature is then validated and evaluated through the leave-one-subject-out (LOSO) protocol for micro-expression recognition. Moreover, the proposed method is compared to state-of-the-art methods on four well-known databases CASME, CASME II, SMIC and CAS(ME)2. Comparative experimental results demonstrate that the proposed FMBH feature descriptor yields promising performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing: Image Communication - Volume 67, September 2018, Pages 108-117
نویسندگان
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