Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Cover of the book

2017 | OriginalPaper | Chapter

Ford Motor Side-View Recognition System Based on Wavelet Entropy and Back Propagation Neural Network and Levenberg-Marquardt Algorithm

Authors : Wen-Juan Jia, Shuihua Wang, Huimin Lu, Ying Shao, Elizabeth Lee, Yu-Dong Zhang

Published in: Parallel Architecture, Algorithm and Programming

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

(Aim) Automatic identification of the car manufacturer in the side-view position can be used for the intelligent traffic monitoring system. Currently, the side-view car recognition did not attract too much attention. (Method) We proposed a novel Ford Motor recognition system. We first captured the car image from the side view. Second, we used wavelet entropy to extract texture features. Third, we employed a back propagation neural network (BPNN) as the classifier. Finally, we employed the Levenberg-Marquardt algorithm to train the classifier. In the experiment, we utilized the 3 × 3-fold cross validation. (Result) This method achieved an overall accuracy of 80% in detecting Ford motors. (Conclusion) This method can detect Ford Motors from the side view effectively. In the future, it may also be used to detect cars of other brands.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
next chapter Intrusion Detection Based on Self-adaptive Differential Evolution Extreme Learning Machine with Gaussian Kernel
Literature
1.
Andrieux, A., Vandanjon, P.O., Lengelle, R., Chabanon, C.: New results on the relation between tyre-road longitudinal stiffness and maximum available grip for motor car. Veh. Syst. Dyn. 48, 1511–1533 (2010). Article ID: Pii 927059222CrossRef
2.
Babanoski, K., Ilijevski, I., Dimovski, Z.: Analysis of road traffic safety through direct relative indicators for traffic accidents fatality: case of republic of macedonia. Promet Traffic Transp. 28, 661–669 (2016)
3.
Dyrud, M.A.: The case of ford motor company. J. Eng. Technol. 33, 10–21 (2016)
4.
Bernaciak, M.: Paradoxes of internationalization. British and German trade unions at ford and general motors 1967–2000. Br. J. Ind. Relat. 51, 2 (2013)CrossRef
5.
Neelima, A., Singh, K.M.: Perceptual hash function based on scale-invariant feature transform and singular value decomposition. Comput. J. 59, 1275–1281 (2016)CrossRef
6.
Ghoualmi, L., Draa, A., Chikhi, S.: An ear biometric system based on artificial bees and the scale invariant feature transform. Expert Syst. Appl. 57, 49–61 (2016)CrossRef
7.
de Souza, J.C.S., Assis, T.M.L., Pal, B.C.: Data compression in smart distribution systems via singular value decomposition. IEEE Trans. Smart Grid 8, 275–284 (2017)CrossRef
8.
Nayak, M.R., Bag, J., Sarkar, S., Sarkar, S.K.: Hardware implementation of a novel water marking algorithm based on phase congruency and singular value decomposition technique. AEU Int. J. Electron. Commun. 71, 1–8 (2017)CrossRef
9.
Phillips, P., Dong, Z., Yang, J.: Pathological brain detection in magnetic resonance imaging scanning by wavelet entropy and hybridization of biogeography-based optimization and particle swarm optimization. Prog. Electromagn. Res. 152, 41–58 (2015)CrossRef
10.
Sun, P.: Pathological brain detection based on wavelet entropy and Hu moment invariants. Bio-Med. Mater. Eng. 26, 1283–1290 (2015)CrossRef
11.
Zhou, X.-X.: Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection: decision tree, k-nearest neighbors, and support vector machine. Simulation 92, 861–871 (2016)CrossRef
12.
Mooij, A.H., Frauscher, B., Amiri, M., Otte, W.M., Gotman, J.: Differentiating epileptic from non-epileptic high frequency intracerebral EEG signals with measures of wavelet entropy. Clin. Neurophysiol. 127, 3529–3536 (2016)CrossRef
13.
Wachowiak, M.P., Hay, D.C., Wachowiak-Smolikova, R., DuVal, D.J., Johnson, M.J.: Analyzing multiresolution wavelet entropy of ECG with visual analytics techniques. In: Canadian Conference on Electrical and Computer Engineering, Vancouver, Canada (2016)
14.
Wang, S.-H.: Single slice based detection for Alzheimer’s disease via wavelet entropy and multilayer perceptron trained by biogeography-based optimization. Multimed. Tools Appl. (2016). doi:10.​1007/​s11042-016-4222-4
15.
Gorriz, J.M., Ramírez, J.: Wavelet entropy and directed acyclic graph support vector machine for detection of patients with unilateral hearing loss in MRI scanning. Front. Comput. Neurosci. 10 (2016). Article ID: 160
16.
Lu, H.M.: Facial emotion recognition based on biorthogonal wavelet entropy, fuzzy support vector machine, and stratified cross validation. IEEE Access 4, 8375–8385 (2016)CrossRef
17.
Wu, L.: A hybrid method for MRI brain image classification. Expert Syst. Appl. 38, 10049–10053 (2011)CrossRef
18.
Ilangkumaran, M., Sakthivel, G., Nagarajan, G.: Artificial neural network approach to predict the engine performance of fish oil biodiesel with diethyl ether using back propagation algorithm. Int. J. Ambient Energy 37, 446–455 (2016)CrossRef
19.
Karimi, R., Yousefi, F., Ghaedi, M., Dashtian, K.: Back propagation artificial neural network and central composite design modeling of operational parameter impact for sunset yellow and azur (II) adsorption onto MWCNT and MWCNT-Pd-NPs: isotherm and kinetic study. Chemom. Intell. Lab. Syst. 159, 127–137 (2016)CrossRef
20.
Ji, G.: Fruit classification using computer vision and feedforward neural network. J. Food Eng. 143, 167–177 (2014)CrossRef
21.
Feng, C.: Feed-forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection. Int. J. Imaging Syst. Technol. 25, 153–164 (2015)CrossRef
22.
Wu, J.: Fruit classification by biogeography-based optimization and feedforward neural network. Expert Syst. 33, 239–253 (2016)CrossRef
23.
Wu, L.: Weights optimization of neural network via improved BCO approach. Prog. Electromagn. Res. 83, 185–198 (2008)CrossRef
24.
Zhang, Y.: Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network. Expert Syst. Appl. 36, 8849–8854 (2009)CrossRef
25.
Naggaz, N., Wei, G.: Remote-sensing image classification based on an improved probabilistic neural network. Sensors 9, 7516–7539 (2009)CrossRef
26.
Lu, Z.: A pathological brain detection system based on radial basis function neural network. J. Med. Imaging Health Inform. 6, 1218–1222 (2016)CrossRef
Metadata
Title
Ford Motor Side-View Recognition System Based on Wavelet Entropy and Back Propagation Neural Network and Levenberg-Marquardt Algorithm
Authors
Wen-Juan Jia
Shuihua Wang
Huimin Lu
Ying Shao
Elizabeth Lee
Yu-Dong Zhang
Copyright Year
2017
Publisher
Springer Singapore
Book
Parallel Architecture, Algorithm and Programming

Print ISBN: 978-981-10-6441-8

Electronic ISBN: 978-981-10-6442-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-6442-5_1