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

Publications Which contain the keyword: video interpretation

Hand gesture recognition using optimized local gabor feature

2018-11-22 09:50:12 Keywords video interpretation, Gabor Filters, Hand Gesture Recognition,

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

2018-11-22 09:51:15 Keywords Hand Gesture Recognition, Gabor Filters, video interpretation,

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 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

Human activity recognition: A scheme using multiple cues

2018-09-29 11:58:56 Keywords Central Moment, Fourier Descriptor, Feature Vector, video interpretation, Human activity recognition,

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

A Fast Statistical Approach for Human Activity Recognition

2018-09-10 19:09:40 Keywords Activity Recognition, motion analysis, Statistical Moments, video interpretation,

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

Recognition of Human Actions Based on Temporal Motion Templates

2018-08-27 23:37:35 Keywords nave Bayes, temporal motion templates, Human action recognition, IIKT action dataset, video interpretation,

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

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,

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,

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

Toward Robust Action Retrieval in Video

2018-09-03 23:29:10 Keywords Multi-level Sigmoidal Neural Network (MS, video interpretation, Human activity recognition,

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

Contact me

AddressP. O Box 82533 Sohag, Egypt
Phone934601984
Fax934601159
Emailsamy.bakheet@science.sohag.edu.eg

Staff members are responsibles,both morally and legally, for the data and documents or any other material on their websites.

Important Links

Sohag university

The Teaching Staffs Websites

Designed and Developed by:/ Emadeldeen