Human Motion Recognition using Fuzzy Inference System
نویسندگان
چکیده
منابع مشابه
Face Recognition using Neuro-Fuzzy Inference System
Face recognition is the process of identifying one or more people in images or videos. It is an important part of biometric, security & surveillance system, and image indexing systems. Various face recognition techniques have been proposed in literature such as: Eigen-faces, Feature based, Hidden Markov model and Neural network based techniques. The first three techniques mostly include a phase...
متن کاملEmotion recognition using a data-driven fuzzy inference system
The need and importance of automatically recognizing emotions from human speech has grown with the increasing role of human-computer interaction applications. This paper explores the detection of domain-specific emotions using a fuzzy inference system to detect two emotion categories, negative and nonnegative emotions. The input features are a combination of segmental and suprasegmental acousti...
متن کاملRobust Potato Color Image Segmentation using Adaptive Fuzzy Inference System
Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...
متن کاملControl Chart Recognition Patterns using Fuzzy Rule-Based System
Control Chart Patterns (CCPs) recognition is one the most important concepts in control chart application. Relating the patterns exhibited on the control chart to assignable causes is an ambiguous and vague task especially when multiple patterns co-exist. In this study, a fuzzy rule-based system is developed for X ̅ control charts to prioritize the control chart causes based on the accumulated e...
متن کاملBlood Vessels Detection Using Fuzzy Inference System
The accurate analysis of Coronary angiographic images plays an important role in diagnosing arterial diseases. All angiograms suffer from varying background, consisting of heart tissues, which harden accurate detection of vessels. Therefore removing background is one of the important steps which have essential effect on improving performance of subsequent steps of vessel detection algorithm, es...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Korea Academia-Industrial cooperation Society
سال: 2009
ISSN: 1975-4701
DOI: 10.5762/kais.2009.10.4.722