Monday 16 September 2013

Sallama Athab - Parallel Priority Region Approach to Detect Background


Sallama Athab joined the School of Science and Technology University of Northampton as a PhD research visitor from University of Babylon on a six-moth visit. The purpose of her visit is to develop her PhD research further whilst at Northampton. 


Up-coming paper:
 Sallama Athab ,Hala Bahja, Yinghui Zhang (2013) 
"Parallel Priority Region Approach to Detect Background" 
Oral Presentation 
ICCCISE 2013: International Conference on Computer, Communication and Information Sciences and Engineering. 
Paris, France, 7-8 October 2013



Abstract
Background detection is essential in video analyses; optimization is often needed to achieve the real time calculation. Information gathered by dual cameras placed in the front and rear part of Autonomous Vehicle (AV) are integrated for background detection. In this paper, real time calculation is achieved on the proposed technique by using Priority Regions (PR) and Parallel Processing together where each frame is divided into regions then each region process in parallel. PR division depends upon driver view limitation. Background detection system built on the Temporal Difference (TD) and Gaussian Filtering (GF). Temporal Difference and Gaussian Filtering with multi threshold and sigma(weight) value are be based on PR characterize. Experiment result is prepared on real scene. Comparison of the speed and accuracy with traditional background detection techniques, effectiveness of PR and parallel processing are discussed in this paper as well.

Related
Sallama Athab - Filter to Detect Objects in Video from Moving Platform

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Tuesday 10 September 2013

Sallama Athab - Detect Objects from a moving platform

 Sallama Athab joined the School of Science and Technology University of Northampton as a PhD research visitor from University of Babylon on a six-moth visit. The purpose of her visit is to develop her PhD research further whilst at Northampton. 




Recent paper:
Moving Area Filter to Detect Object in Video Sequence from Moving Platform
Sallama Athab ,Hala Bahjat
International Conference on Computer, Communication and Information Sciences and Engineering. 5-6 September 2013.



Abstract
Detecting object in video sequence is a challenging mission for identifying, tracking moving objects. Background removal considered as a basic step in detected moving objects tasks. Dual static cameras placed in front and rear moving platform gathered information which is used to detect objects. Background change regarding with speed and direction moving platform, so moving objects distinguished become complicated. In this paper, we propose framework allows detection moving object with variety of speed and direction dynamically. Object detection technique built on two levels the first level apply background removal and edge detection to generate moving areas. The second level apply Moving Areas Filter (MAF) then calculate Correlation Score (CS) for adjusted moving area. Merging moving areas with closer CS and marked as moving object. Experiment result is prepared on real scene acquired by dual static cameras without overlap in sense. Results showing accuracy in detecting objects compared with optical flow and Mixture Module Gaussian (MMG), Accurate ratio produced to measure accurate detection moving object.


Future paper:
Sallama Athab ,Hala Bahja, Yinghui Zhang (2013) "Parallel Priority Region Approach to Detect Background" Oral Presentation ICCCISE 2013: International Conference on Computer, Communication and Information Sciences and Engineering. Paris, France, 7-8 October 2013


Wafaa Al-Hameed - Segmentation of Radiographic Images of Weld Defect

Wafaa joined the School of Science and Technology University of Northampton as a PhD research visitor from University of Babylon on a six-moth visit. The purpose of her visit is to develop her PhD research further whilst at Northampton. 

Her research project was in the general area of machine recognition, in particular the automatic labelling of images using learning vector machines. After six month she has managed to present her work in the Graduate School Conference on May and then published her work in the Journal of Global Research in Computing.

SEGMENTATION OF RADIOGRAPHIC IMAGES OF WELD DEFECT
Wafaa Al-Hameed[1], Yahya Mayali[2], and Phil Picton[3]
[1]Computer science, University of Babylon / College of Science, Babylon, Iraq
[2] Faculty of Mathematics and Computer Science, University of Kufa, Kufa, Iraq
[3] University of Northampton, Northampton, Uk
Journal of Global Research in Computer Science
Volume 4, No. 7, July 2013
ISSN 2229-371X

Abstract
The first stage in the classification or identification of defects in gray-level x-ray images of welds is the segmentation of the defects. The gray levels in weld images depend on the density and thickness of the material being tested. This causes the relative contrast of the defect area to vary with its position. As a consequence, it is difficult to carry out the process of segmentation. As a result, the subsequent stages of operations such as classification or recognition are affected. In this paper, different segmentation methods are introduced which are known as “data-driven”. In this approach, only the gray-level data is used to identify an area of interest, i.e. an area of the image that contains a defect, and hence extract it. The comparison of results show that using the morphology process with local thresholding yields better results than using edge detection method such as Sobel and Canny filters.



Full text of the article can be found at: http://www.jgrcs.info/index.php/jgrcs/article/view/743/525

Friday 6 September 2013

Modelling and simulation of an Aramid rope system

A paper on rope system modelling, simulation and experimental validation is to be published at the 11th International Conference on Vibration Problems, Lisbon, Portugal, 9-12 September 2013


MODELLING, SIMULATION AND EXPERIMENTAL VALIDATION OF NONLINEAR DYNAMIC INTERACTIONS IN AN ARAMID ROPE SYSTEM
S. Kaczmarczyk, S. Mirhadizadeh, P. Picton, R. Salamaliki-Simpson, S. Turner
School of Science and Technology, The University of Northampton, UK 


Abstract. 
Vibration phenomena taking place in lifting and hoist installations may influence the dynamic performance of their components. For example, in an elevator system they may affect ride quality of a lift car. Lateral and longitudinal vibrations of suspension ropes and compensating cables may result in an adverse dynamic behaviour of the entire installation. Thus, there is a need to develop reliable mathematical and computer simulation models to predict the dynamic behaviour of suspension rope and compensating cable systems. The aim of this paper is to develop a model of an aramid suspension rope system in order to predict nonlinear modal interactions taking place in the installation. A laboratory model comprising an aramid suspension rope, a sheave/ pulley assembly and a rigid suspended mass has been studied. Experimental tests have been conducted to identify modal nonlinear couplings in the system. The dynamic behaviour of the model has been described by a set of nonlinear partial differential equations. The equations have been solved numerically. The numerical results have been validated by experimental tests. It has been shown that the nonlinear couplings may lead to adverse modal interactions in the system. 


REFERENCES
[1] R. Salamaliki-Simpson, S. Kaczmarczyk, P. Picton, S. Turner, "Non-linear Modal Interactions in a Suspension Rope System with Time-varying Length", Applied Mechanics and Materials 5-6 (2006) 217-224.
[2] S. Kaczmarczyk, "The Nonstationary, Nonlinear Dynamic Interactions in Slender Continua Deployed in High-rise Vertical Transportation Systems in the Modern Built Environment", Journal of Physics: Conference Series, Vol. 382 012037, doi:10.1088/1742-6596/382/1/012037 (2012).
[3] S. Kaczmarczyk, P. Picton, "The Prediction of Nonlinear Responses and Active Stiffness Control of Moving Slender Continua Subjected to Dynamic Loadings in a Vertical Host Structure", The International Journal of Acoustics and Vibration 18(1) (2013) 39-44. 

For more details please contact:
stefan.kaczmarczyk@northampton.ac.uk

seyed.mirhadizadeh@northampton.ac.uk

Details of the conference can be found at: http://www.icovp.com/index.php/programme