Vehicle Type Recognition based on Dimension Estimation and Bag of Word Classification
محل انتشار: مجله هوش مصنوعی و داده کاوی، دوره: 8، شماره: 3
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 215
فایل این مقاله در 13 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JADM-8-3_011
تاریخ نمایه سازی: 21 اردیبهشت 1400
چکیده 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 ۸۹.۵% is achieved, which represents a good performance.
کلیدواژه ها:
نویسندگان
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.