Hardware implementation of a scale and rotation invariant object detection algorithm on FPGA for real-time applications

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. © 2016 TÜBİTAK.

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18 Mayıs 2024 13:34
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Eser Adı
(dc.title)
Hardware implementation of a scale and rotation invariant object detection algorithm on FPGA for real-time applications
Yayın Türü
(dc.type)
Makale
Yazar/lar
(dc.contributor.author)
PEKER, Murat
Yazar/lar
(dc.contributor.author)
ALTUN, Halis
Yazar/lar
(dc.contributor.author)
KARAKAYA, Fuat
DOI Numarası
(dc.identifier.doi)
10.3906/elk-1408-187
Atıf Dizini
(dc.source.database)
Scopus
Konu Başlıkları
(dc.subject)
Average Magnitude Difference Function
Konu Başlıkları
(dc.subject)
Image Processing
Konu Başlıkları
(dc.subject)
Histogram of Oriented Gradients
Yayıncı
(dc.publisher)
Turkiye Klinikleri Journal of Medical Sciences
Yayın Tarihi
(dc.date.issued)
2016
Kayıt Giriş Tarihi
(dc.date.accessioned)
2020-08-07T12:58:48Z
Açık Erişim tarihi
(dc.date.available)
2020-08-07T12:58:48Z
Kaynak
(dc.source)
Turkish Journal of Electrical Engineering and Computer Sciences
ISSN
(dc.identifier.issn)
13000632 (ISSN)
Özet
(dc.description.abstract)
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. © 2016 TÜBİTAK.
Yayın Dili
(dc.language.iso)
en
Tek Biçim Adres
(dc.identifier.uri)
http://hdl.handle.net/20.500.12498/3066
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