Hardware implementation of a scale and rotation invariant object detection algorithm on FPGA for real-time applications
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
A hardware implementation of a computationally light, scale, and rotation invariant method for shape detection on FPGA is devised. The method is based on histogram of oriented gradients (HOG) and average magnitude difference function (AMDF). AMDF is used as a decision module that measures the similarity/dissimilarity between HOG vectors of an image in order to classify the object. In addition, a simulation environment implemented on MATLAB is developed in order to overcome the time-consuming and tedious process of hardware verification on the FPGA platform. The simulation environment provides specific tools to quickly implement the proposed methods. It is shown that the simulator is able to produce exactly the same results as those obtained from FPGA implementation. The results indicate that the proposed approach leads to a shape detection method that is computationally light, scale, and rotation invariant, and, therefore, suitable for real-time industrial and robotic vision applications.
Açıklama
Anahtar Kelimeler
Average magnitude difference function, field programmable gate arrays, histogram of oriented gradients, image processing
Kaynak
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
24
Sayı
5
