A Framework for Saudi Uniform Gait Recognition Based on Kinect Skeletal Tracking

Jawad H. Alkhateeb,Ehsan Owaidah,Aiman Turani,Rashiq Marie,Aladdein Amro,Ahmad A. Mazhar

#Biometric system #gait recognition #kinect sensor #KNN

A Framework for Saudi Uniform Gait Recognition Based on Kinect Skeletal Tracking

Jawad H. Alkhateeb,Aiman Turani,Rashiq Marie,Aladdein Amro,Ahmad A. Mazhar

#Biometric system #gait recognition #kinect sensor #KNN

Saliency Detection for Content Aware Computer Vision Applications

Manipoonchelvi Pandivalavan,Muneeswaran Karuppiah

#Content aware processing #saliency detection #computational visual attention

An Efficient Perceptual of CBIR System using MIL-SVM Classification and SURF Feature Extraction

Bhuvana Shanmugam,Radhakrishnan Rathinavel,Tamije Perumal,Subhakala Subbaiyan

#SURF #MIL-SVM #LBG #HI

Adapted Normalized Graph Cut Segmentation with

Singaravelu Prabhu1 and Dharmaraj Tensing2 1Department of Computer Science and Engineering, Kal aivani College of Technology, India 2 School of Civil Engineering, Karunya University, India

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Developing a Novel Approach for Content Based

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A Vision Approach for Expiry Date Recognition using Stretched Gabor Features

Abstract: Product"expiry date represent important information for products consumption. They must contain clear

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# CBIR # anisotropic morphological filters # hierarchical kaman filter and particle filter # mahalanobis distance # color feature extraction # gray)level extraction

Sajid Khan1, Muhammad Nazir2, Naveed Riaz3 and Muhammad Khan4

# Gender classification # feature extraction # pattern recognition # active shape model # real world face im ages

A Dynamic Traffic Shaping Technique for a Scalable QoS in ATM Networks

, Ganiyu Aderounmu 2

#A synchronous transfer mode # quality of service # complete sharing / gradual release # traffic shaper # constant bit rate # variable bit rate

SamiGazzah1andNajouaBenAmara2

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Handwriting Arabic Character Recognition LeNet Using Neural Network

#Arabic character recognition # neural network # LeNet

Discrete Time NHPP Models for Software Reliability Growth Phenomenon

#Software engineering # software testing # software re liability # software reliability growth model # nonhomogeneous poissonprocess #testoccasions

Sanjay Singh1 and Trimbak Sontakke2 1Department of Computer Engineering, Siddhant Colleg e of Engineering, India 2Siddhant College of Engineering, India

# CBIR # low level feature # high level feature # semant ic gap # color # shape # texture # contourlet # squared euclidean distance # EP

Zernike Moments and SVM for Shape Classification in Very High Resolution

Habib Mahi1, Hadria Isabaten2, and Chahira Serief1 1Earth Observation Division, Centre of Space Techniq ues, Algeria 2Faculty of Computing Science, Boudiaf University, A lgeria

#Zernike moments # building extraction # mean shift # SVM # VHSR satellite images

Interactive Video Retrieval Using Semantic Level Features and Relevant Feedback

But, most of the works are concentrated on extracting features low level features. But, the relevant videos can be missed out if

#shot detection # color # shape # texture # video retrieval # relevant feedback

Shearing Invariant Texture Descriptor from a Local

Omar Wahdan, Mohammad Nasrudin, and Khairuddin Omar

#Shear invariant descriptor # texture fingerprint # image acquisition # local binary pattern # outex framework

Off-line Arabic Hand-Writing Recognition Using Artificial Neural Network with Genetics Algorithm

Abstract: Artificial Neural Networks (ANN) were used in the recognition of the printed Arabic text with a high rate

#ANN # GA # Feature vector # character recognition # arabic hand-written text # Hidden Markov Model (HMM)

Dynamic Random Forest for the Recognition of Arabic Handwritten Mathematical Symbols with A

Laboratory of Advanced Technology and Intelligent Systems, University of Sousse, Tunisia

#Arabic handwritten mathematical symbols recognition # SH # HOG # CCH # dynamic RF

Vision-Based Human Activity Recognition Using LDCRFs

flow is proposed. The first phase of this approach is to employ the modelling background that uses an adaptive Gaussian

#Action recognition # Invariant elliptic fourier # Invariant zernike moments # latent-dynamic conditional random fields