چکیده مقاله
In this paper a new method based on fuzzy inference is proposed for recognizing the human interaction in RGBD images Due to differences in interactions of different individuals based on age, sex and physical built, their activity for a specific sequence vary greatly from each other, therefore using fuzzy system will contribute to interaction recognizing In the proposed method, first four key frames are selected, skeleton based features are then extracted and finally, an Adaptive Neuro Fuzzy System isapplied to recognize the interaction This method was tested on SBU data set and the results showed the best performance compared to the state of the art methods
کلیدواژهها
نویسندگان
Mahlagha Afrasiabi
PHD Student, Department of computer Engineering, Bu Ali Sina university
Hassan khotanlou
Associate Professor, Department of computer Engineering, Bu Ali Sina university
شیوه ارجاع
Afrasiabi, Mahlagha and khotanlou, Hassan,1396,Human interaction recognition using Adaptive neuro-fuzzy inference system,2rd International Conference on Soft Computing,Rudsar
ارائهشده در
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