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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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

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

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

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

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

Face Detection and Localization in Color Images: An Efficient Neural Approach
Automatic face detection and localization is a key problem in many computer vision tasks. In this paper, a simple yet effective approach for detecting and locating human faces in color images is proposed. The contribution of this paper is twofold. First, a particular reference to face detection techniques along with a background to neural networks is given. Second, and maybe ... Read more

Efficient Region-Based Image Querying
Retrieving images from large and varied repositories using visual contents has been one of major research items, but a challenging task in the image management community. In this paper we present an efficient approach for region-based image classification and retrieval using a fast multi-level neural network model. The advantages of this neural model in image classification and retrieval domain will ... Read more

Toward Robust Action Retrieval in Video
Retrieving human actions from video databases is a paramount but challenging task in computer vision. In this work, we develop such a framework for robustly recognizing human actions in video sequences. The contribution of the paper is twofold. First a reliable neural model, the Multi-level Sigmoidal Neural Network (MSNN) as a classifier for the task of action recognition is presented. ... Read more