samy.bakheet

Dr.-Ing. Samy S. M. Bakheet

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

Faculty of Computers and Information

Address: P. O Box 82533 Sohag, Egypt

1782

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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

A new approach to image segmentation via fuzzification of Renyi entropy of generalized distributions
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

Vision-Based Adult Image Content Identification
In recent years, a great deal of research work has been devoted to the problem of ltering and blocking adult content from Web indexes and browsers. By taking advantage of the fact that there is a substantial correlation between images with large patches of skin and adult images, the skin color detection can oer an eective and ecient way to ... Read more

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

Multicolor Skin Modeling with Application to Skin Detection
In literature, different researchers consistently argue different color models to be the best choice for skin detection. However, to the best our knowledge, no significant work has been reported in the literature that attempted to utilize more than one color model for skin detection and evaluate the performance for identifying adult image contents. In this paper, we propose a rapid ... Read more

Human Action Recognition via Affine Moment Invariants
Despite their high stability and compactness, affine moment invariants have received a relatively little attention in action recognition literature. In this paper, we introduce an approach for activity recognition, based on affine moment invariants. In the proposed approach, a compact computationally-efficient shape descriptor is developed by using affine moment invariants. Affine moment invariants are derived from the 3D spatio-temporal action ... Read more

Chord-Length Shape Features for Human Activity Recognition
Despite their high stability and compactness, chord-length shape features have received relatively little attention in the human action recognition literature. In this paper, we present a new approach for human activity recognition, based on chord-length shape features. The most interesting contribution of this paper is twofold.We first show how a compact, computationally efficient shape descriptor; the chord-length shape features are ... Read more

A Fast Statistical Approach for Human Activity Recognition
An essential part of any activity recognition system claiming be truly real-time is the ability to perform feature extrac- tion in real-time. We present, in this paper, a quite simple and computationally tractable approach for real-time human activity recognition that is based on simple statistical features. These features are simple and relatively small, accord- ingly they are easy and fast ... Read more