rmelkhatib

أ. د. رأفت محمد أحمد محمد أحمد الخطيب

استاذ - أستاذ بقسم الكيمياء

كلية العلوم

العنوان: قسم الكيمياء - كلية العلوم - جامعة سوهاج

18

إعجاب
7 0 0 5 3 0 455 31
51

أضيف حديثا
  • المقررات الدراسية 7
  • ملحقات المقررات الدراسية 0
  • واجبات المقررات الدراسية 0
  • المنشورات و المؤلفات 5
  • ساعات مكتبية 3
  • الاعلانات 0
  • عدد الملفات المرفوعه 0
  • كل التنزيلات 0

المنشورات و المؤلفات التي تحتوي علي الكلمة المفتاحية: video interpretation

Hand gesture recognition using optimized local gabor feature

2018-11-22 09:50:12 الكلمات المفتاحية video interpretation, Gabor Filters, Hand Gesture Recognition,
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. ... إقراء المزيد

Gesture recognition using optimized gabor features

2018-11-22 09:51:15 الكلمات المفتاحية Hand Gesture Recognition, Gabor Filters, video interpretation,
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. ... إقراء المزيد

A fuzzy framework for real-time gesture spotting and recognition

2018-11-22 09:57:02 الكلمات المفتاحية Hand Gesture Recognition, video interpretation, SVM classification, fuzzy directional features, dynamic gesture spotting,
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 ... إقراء المزيد

Human activity recognition: A scheme using multiple cues

2018-09-29 11:58:56 الكلمات المفتاحية Central Moment, Fourier Descriptor, Feature Vector, video interpretation, Human activity recognition,
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 ... إقراء المزيد

A Fast Statistical Approach for Human Activity Recognition

2018-09-10 19:09:40 الكلمات المفتاحية Activity Recognition, motion analysis, Statistical Moments, video interpretation,
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 ... إقراء المزيد

Recognition of Human Actions Based on Temporal Motion Templates

2018-08-27 23:37:35 الكلمات المفتاحية nave Bayes, temporal motion templates, Human action recognition, IIKT action dataset, video interpretation,
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 ... إقراء المزيد

Video-Based Recognition and Representation of Human Actions

2018-09-01 00:07:40 الكلمات المفتاحية fuzzy directional features, moment invariants, motion analysis, video interpretation, chord-length function, log-polar histogram, Human action recognition,
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 ... إقراء المزيد

Toward real-world activity recognition: An SVM based system using fuzzy directional features

2018-09-02 23:13:46 الكلمات المفتاحية Human activity recognition, fuzzy directional features, one-vs.-all SVM, video interpretation,
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 ... إقراء المزيد

Toward Robust Action Retrieval in Video

2018-09-03 23:29:10 الكلمات المفتاحية Multi-level Sigmoidal Neural Network (MS, video interpretation, Human activity recognition,
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. ... إقراء المزيد

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