کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
495140 862816 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An application of a bio-inspired visual attention model for the localization of vehicle parts
ترجمه فارسی عنوان
استفاده از یک مدل توجه بصری الهام گرفته برای مکان بندی قطعات خودرو
کلمات کلیدی
سیستم های الهام گرفته از بیوگرافی، توجه ویژهای، وسایل نقلیه خودرو، شناسایی بخش قطعات خودرو، طبقه بندی عکس، مدل های شکل فعال
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• A two-step approach localizes vehicle parts using a bio-inspired visual attention.
• Bounding-boxes roughly locate parts of interest in the saliency map.
• Average bounding-box localization rates of 99.8% are obtained for different parts.
• Active contour models capture the boundaries of each vehicle part within each bounding box.
• A large number of parts can be identified in different views of a vehicle.

The automated servicing of vehicles is becoming more and more a reality in today's world. While certain operations, such as car washing, require only a rough model of the surface of a vehicle, other operations, such as changing of a wheel or filling the gas tank, require a correct localization of the different parts of the vehicle on which operations are to be performed. The paper describes a two-step approach to localize vehicle parts over the surface of a vehicle in front, rear and lateral views capitalizing on a novel approach based on bio-inspired visual attention. First, bounding-boxes are determined based on a model of human visual attention to roughly locate parts of interest. Second, the bounding-boxes are further searched to finely tune and better capture the boundaries of each vehicle part by means of active contour models. The proposed method obtains average bounding-box localization rates over 99.8% for different vehicle parts on a dataset of 120 vehicles belonging to sedan, SUV and wagon categories. Moreover, it allows, with the addition of the active contour models, for a more complete and accurate description of vehicle parts contours than other state-of-the-art solutions. This research work is contributing to the implementation of an automated industrial system for vehicle inspection.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 31, June 2015, Pages 369–380
نویسندگان
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