samy.bakheet

Dr.-Ing. Samy Sadek

Assistant Professor - Neuro-Information Technology, Vice-Dean for Graduate Studies and Research

Faculty of Computers and Information

Address: P. O Box 82533 Sohag, Egypt

1786

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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

Human activity recognition: A scheme using multiple cues
In this work, a schematic model for human activity recognition based on multiple cues is introduced. In the beginning, a sequence of temporal silhouettes of the moving human body parts are extracted from a video clip (i.e., an action snippet). Next, each action snippet is temporally split into several time-slices represented by fuzzy intervals. As shape features, a variety of ... Read more

An SVM framework for malignant melanoma detection based on optimized HOG features
Early detection of skin cancer through improved techniques and innovative technologies has the greatest potential for significantly reducing both morbidity and mortality associated with this disease. In this paper, an effective framework of a CAD (Computer-Aided Diagnosis) system for melanoma skin cancer is developed mainly by application of an SVM (Support Vector Machine) model on an optimized set of HOG ... Read more

Hand Gesture Recognition Using Optimized Local Gabor Features
Since a bank of 2D Gabor filters has a large potential to isolate texture according to particular frequencies and orientations, the usage of Gabor features to simulate the visual features extracted from human hand is a very effective way. In this paper, we propose an optimized Gabor features based framework for real-time hand gesture recognition explicitly targeted to depth data. ... Read more

Recognition of human actions based on temporal motion templates
Despite their attractive properties of invariance, robustness and reliability, statistical motion descriptions from temporal templates have not apparently received the amount of attention they might deserve in the human action recognition literature. In this paper, we propose an innovative approach for action recognition, where a novel fuzzy representation based on temporal motion templates is developed to model human actions as ... Read more

Hand gesture recognition using optimized local gabor feature
Since a bank of 2D Gabor filters has a large potential to isolate texture according to particular frequencies and orientations, the usage of Gabor features to simulate the visual features extracted from human hand is a very effective way. In this paper, we propose an optimized Gabor features based framework for real-time hand gesture recognition explicitly targeted to depth data. ... Read more

Gesture recognition using optimized gabor features
Since a bank of 2D Gabor filters has a large potential to isolate texture according to particular frequencies and orientations, the usage of Gabor features to simulate the visual features extracted from human hand is a very effective way. In this paper, we propose an optimized Gabor features based framework for real-time hand gesture recognition explicitly targeted to depth data. ... Read more

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

A discriminative framework for action recognition using f-HOL features
Inspired by the overwhelming success of Histogram of Oriented Gradients (HOG) features in many vision tasks, in this paper, we present an innovative compact feature descriptor called fuzzy Histogram of Oriented Lines (f-HOL) for action recognition, which is a distinct variant of the HOG feature descriptor. The intuitive idea of these features is based on the observation that the slide ... Read more

Generalized α-entropy based medical image segmentation
In 1953, Rènyi introduced his pioneering work (known as _α_-entropies) to generalize the traditional notion of entropy. The functionalities of _α_-entropies share the major properties of Shannon’s entropy. Moreover, these entropies can be easily estimated using a kernel estimate. This makes their use by many researchers in computer vision community greatly appealing. In this paper, an efficient and fast entropic ... Read more