Effect of Salient Features in Object Recognition

Ahmad, Kashif; Ahmad, Nasir; Haider, Kashif; Ikram, Muhammad Jawad

doi:10.5120/9991-4839

Cited by 2 publications

(3 citation statements)

References 24 publications

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“…Saliency: visual saliency has been proved very effective in object recognition/classification applications as can be seen in [7,8,9]. In [7], Ahmad et al discussed the effect of saliency algorithm in object classification in bag of words model.…”

Section: Related Workmentioning

confidence: 98%

“…In [7], Ahmad et al discussed the effect of saliency algorithm in object classification in bag of words model. They evaluated the performance of saliency algorithm on around 2570 images of different objects, and concluded that the inclusion of saliency algorithm improved the execution time by a greater amount with out much affecting the performance of BoW model in object recognition.…”

Section: Related Workmentioning

confidence: 99%

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Saliency based skin detection in complex scenes

Ahmad

Khan

et al. 2013

SPIE Proceedings

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Background cluttering badly affects the performance of Skin detection. In highly cluttered images, skin detection becomes more difficult and the algorithm can't differentiate between the skin and non-skin pixels. In this paper, we introduce saliency algorithm for removing the irrelevant information especially the skin like regions, in the background of the human images to tackle the background cluttering problem and improve the performance of skin detection algorithms in images with complex backgrounds. Extensive experimentation on highly cluttered and complex images shows that saliency algorithm further enhances the performance of skin detection algorithms not only in terms of false positive rate but in true positive rate, true negative, false negative rate, accuracy and precision too.

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Section: Related Workmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

Saliency based skin detection in complex scenes

Ahmad

Khan

et al. 2013

SPIE Proceedings

Self Cite

View full text Add to dashboard Cite

show abstract

“…According to Symons (1990), Willcocks (1992), Al-Sudairy(1994),andBallantineetal. (1996,mostoftheseproblemsand constraintsresultfromhuman,socio-cultural,organisational,andtechnicalfactors.IT/ ISbarriersare:limitedawareness,lackofITliteracy,varyingskillsofITawareness and management, lack of suitable infrastructure, and limited resources (Ahmad, & Siddiqui, 2013). The barriers that influence an IT/IS evaluation process may be duetotheorganisationalcontextandthetypeofIS (Farbey,etal.,1993),andmany researchershaveidentifieddifficultiesencounteredduringanIT/ISevaluationprocess.…”

Section: Introductionmentioning

confidence: 99%

Qualitative Analysis of IT/IS Evaluation Practices in Private Organisations in Saudi Arabia

Al-Maliki

2018

International Journal of Measurement Technologies and Instrumentation Engineering

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Many studies have been carried out on information technology/information systems (IT/IS) in the Western world, but little research has been conducted in the Saudi private sector. This study has been conducted to identify and examine the IT/IS evaluation processes employed in the Saudi private sector and any factors that hinder such organisations from evaluating their systems effectively. This article concentrates on the results of those interviews. Numerous studies have been conducted on the mechanisms of IT/IS evaluation techniques and the factors affecting their implementation, but there are very few studies in this field in Saudi Arabia, and they are generally sections of other main studies about IT implementation, use, and investment. This article aims to identify means of evaluating IT/IS in the private sector. 30 IT managers in private-sector companies were randomly selected from the list of top companies issued by the Council of Saudi Chambers of Commerce in the Kingdom of Saudi Arabia.

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Effect of Salient Features in Object Recognition

Cited by 2 publications

References 24 publications

Saliency based skin detection in complex scenes

Saliency based skin detection in complex scenes

Qualitative Analysis of IT/IS Evaluation Practices in Private Organisations in Saudi Arabia

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