samy.bakheet

Dr.-Ing. Samy Bakheet

Assistant Professor - Neuro-Information Technology

Faculty of Computers and Information

Address: P. O. Box 82524 Sohag, Egypt

1357

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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

An Elliptical Boundary Skin Model For Hand Detection Based on HSV Color Space
Detection and tracking of human face and hands are curial for gesture recognition. In this paper, a skin segmentation framework is presented, where a robust elliptical model in HSV color space is developed, which promises not only to better model the skin color, but also to significantly lower the complexity of the hand detection process. In our approach, hand regions ... 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

Adaptive Fingerprint Image Enhancement Based On Cascading Filtering 2
Automated Fingerprint Identification Systems (AFIS) have recently become one of the best-known and most widely used biometric technologies, which consists of various stages such as Image acquisition, enhancement, feature extraction and matching. The enhancement process is conducted to improve the quality of the fingerprint image and make it more legible and convenient for the further feature extraction process. In this ... 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