این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Journal of Artificial Intelligence and Data Mining، جلد ۸، شماره ۳، صفحات ۴۲۷-۴۳۸
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Vehicle Type Recognition based on Dimension Estimation and Bag of Word Classification
چکیده انگلیسی مقاله Fine-grained vehicle type recognition is one of the main challenges in machine vision. Almost all of the ways presented so far have identified the type of vehicle with the help of feature extraction and classifiers. Because of the apparent similarity between car classes, these methods may produce erroneous results. This paper presents a methodology that uses two criteria to identify common vehicle types. The first criterion is feature extraction and classification and the second criterion is to use the dimensions of car for classification. This method consists of three phases. In the first phase, the coordinates of the vanishing points are obtained. In the second phase, the bounding box and dimensions are calculated for each passing vehicle. Finally, in the third phase, the exact vehicle type is determined by combining the results of the first and second criteria. To evaluate the proposed method, a dataset of images and videos, prepared by the authors, has been used. This dataset is recorded from places similar to those of a roadside camera. Most existing methods use high-quality images for evaluation and are not applicable in the real world, but in the proposed method real-world video frames are used to determine the exact type of vehicle, and the accuracy of 89.5% is achieved, which represents a good performance.
کلیدواژه‌های انگلیسی مقاله bag of words, camera calibration, dimension estimation, vehicle type recognition
نویسندگان مقاله R. Asgarian Dehkordi |
Faculty of Electrical Engineering and Robotics, Shahrood University of Technology, Shahrood, Iran.

H. Khosravi |
Faculty of Electrical Engineering and Robotics, Shahrood University of Technology, Shahrood, Iran.

نشانی اینترنتی http://jad.shahroodut.ac.ir/article_1722_9749fae8e64658949e4fc6907940b5f7.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات