samy.bakheet

Dr.-Ing. Samy Sadek

Assistant Professor - Neuro-IT (Artificial Vision), Vice-Dean for Graduate Studies and Research

Faculty of Computers and Information

Address: P. O Box 82533 Sohag, Egypt

1793

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Publications Which contain the keyword: fuzzy directional features

A fuzzy framework for real-time gesture spotting and recognition

2018-11-22 09:57:02 Keywords Hand Gesture Recognition, video interpretation, SVM classification, fuzzy directional features, dynamic gesture spotting,
A fuzzy framework for real-time gesture spotting and recognition
A vital requirement of any recognition system claiming to be real time is the capability to perform feature extraction in real time. In this paper, we propose an innovative fuzzy approach for real-time dynamic gesture recognition and spotting, where a compact local descriptor is designed to model moving gesture skeletons as a time series of fuzzy statistical features. Then, a ... Read more

Video-Based Recognition and Representation of Human Actions

2018-09-01 00:07:40 Keywords fuzzy directional features, moment invariants, motion analysis, video interpretation, chord-length function, log-polar histogram, Human action recognition,
Video-Based Recognition and Representation of Human Actions
Our primary concern in this book is to explore and establish theories and methodologies for accurate representation and recognition of human actions in video data. Throughout the chapters of the book, several approaches involving diverse conceptualizations are presented to represent and recognize human actions from video sequences. Moreover, in Chapter 4, a variety of distinctive visual features (shape and motion ... Read more

Toward real-world activity recognition: An SVM based system using fuzzy directional features

2018-09-02 23:13:46 Keywords Human activity recognition, fuzzy directional features, one-vs.-all SVM, video interpretation,
Toward real-world activity recognition: An SVM based system using fuzzy directional features
Despite their attractive properties of invariance, robustness and reliability, fuzzy directional features are not hitherto paid the attention they deserve in the activity recognition literature. In this paper, we propose to adopt an innovative approach for activity recognition in real-world scenes, where a new fuzzy motion descriptor is developed to model activities as time series of fuzzy directional features. A ... Read more

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