A Review of Attention Models in Image Protrusion and Object Detection

سال انتشار: 1393
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 813

فایل این مقاله در 15 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

CITCONF02_091

تاریخ نمایه سازی: 19 اردیبهشت 1395

چکیده مقاله:

Modelling in visual attention especially the stimulus-driven one, i.e. saliency-based attention,has been a very active research field during the recent 25 years. There are many attentionmodels which, apart from being in other aspects, have been offered in successful functions ofcomputer vision, moving robots, and cognitive systems. The present article surveys theprimary concepts of visual attention, implemented in cognitive, Bayesian network, decisiontheories, and information theory in a computational perspective. It will demonstrate acategorization that provides a critical comparison of the approaches as well as their abilitiesand results. Specifically, the article formulates the criteria, derived from computationalbehaviors and studies in order to compare the quality of visual attention models.

نویسندگان

Seyyed Mohammad Hashemi

Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University,Qazvin

Ali Broumandnia

Faculty of Computer and Information Technology Engineering,South Tehran Branch Islamic Azad University,Tehran, Iran