Motorcycles detection using Haar-like features and Support Vector Machine on CCTV camera image
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A. Nurhadiyatna, B. Hardjono, A. Wibisono, W. Jatmiko, and P. Mursanto, “ITS information source: Vehicle speed measurement using camera as sensor,†in 2012 International Conference on Advanced Computer Science and Information Systems (ICACSIS), 2012, pp. 179–184.
K. B. Saran and G. Sreelekha, “Traffic video surveillance: Vehicle detection and classification,†in 2015 International Conference on Control, Communication and Computing India, ICCC 2015, Mar. 2016, pp. 516–521, doi: 10.1109/ICCC.2015.7432948.
S. Messelodi, C. M. Modena, and M. Zanin, “A computer vision system for the detection and classification of vehicles at urban road intersections,†Pattern Anal. Appl., vol. 8, no. 1–2, pp. 17–31, Sep. 2005, doi: 10.1007/s10044-004-0239-9.
Z. Yang and L. S. C. Pun-Cheng, “Vehicle detection in intelligent transportation systems and its applications under varying environments: A review,†Image and Vision Computing, vol. 69. Elsevier Ltd, pp. 143–154, Jan. 01, 2018, doi: 10.1016/j.imavis.2017.09.008.
A. Prahara and Murinto, “Car detection based on road direction on traffic surveillance image,†in Proceeding - 2016 2nd International Conference on Science in Information Technology, ICSITech 2016: Information Science for Green Society and Environment, Feb. 2017, pp. 344–349, doi: 10.1109/ICSITech.2016.7852660.
A. Prahara, A. Azhari, and Murinto, “Vehicle pose estimation for vehicle detection and tracking based on road direction,†Int. J. Adv. Intell. Informatics, vol. 3, no. 1, pp. 35–46, Mar. 2017, doi: 10.26555/ijain.v3i1.88.
X. Wen, L. Shao, W. Fang, and Y. Xue, “Efficient feature selection and classification for vehicle detection,†IEEE Trans. Circuits Syst. Video Technol., vol. 25, no. 3, pp. 508–517, Mar. 2015, doi: 10.1109/TCSVT.2014.2358031.
Y. Tang, C. Zhang, R. Gu, P. Li, and B. Yang, “Vehicle detection and recognition for intelligent traffic surveillance system,†Multimed. Tools Appl., vol. 76, no. 4, pp. 5817–5832, Feb. 2017, doi: 10.1007/s11042-015-2520-x.
S. M. Elkerdawi, R. Sayed, and M. ElHelw, “Real-Time Vehicle Detection and Tracking Using Haar-Like Features and Compressive Tracking,†Springer International Publishing, 2014, pp. 381–390.
D. Chen, G. Jin, L. Lu, L. Tan, and W. Wei, “Infrared Image Vehicle Detection Based on Haar-like Feature,†in Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018, Dec. 2018, pp. 662–667, doi: 10.1109/IAEAC.2018.8577211.
A. Haselhoff and A. Kummert, “A vehicle detection system based on haar and triangle features,†in IEEE Intelligent Vehicles Symposium, Proceedings, 2009, pp. 261–266, doi: 10.1109/IVS.2009.5164288.
S. Madhogaria, P. Baggenstoss, M. Schikora, W. Koch, and D. Cremers, “Car detection by fusion of HOG and causal MRF,†IEEE Trans. Aerosp. Electron. Syst., vol. 51, no. 1, pp. 575–590, Jan. 2015, doi: 10.1109/TAES.2014.120141.
S. Bougharriou, F. Hamdaoui, and A. Mtibaa, “Linear SVM classifier based HOG car detection,†in 2017 18th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2017 - Proceedings, Mar. 2018, vol. 2018-January, pp. 241–245, doi: 10.1109/STA.2017.8314922.
Y. Xu, G. Yu, Y. Wang, X. Wu, and Y. Ma, “A Hybrid Vehicle Detection Method Based on Viola-Jones and HOG + SVM from UAV Images,†Sensors, vol. 16, no. 8, p. 1325, Aug. 2016, doi: 10.3390/s16081325.
A. Prahara, A. Pranolo, and R. Drezewski, “GPU Accelerated Number Plate Localization in Crowded Situation,†Int. J. Adv. Intell. Informatics, vol. 1, no. 3, pp. 150–157, 2015, [Online]. Available: http://ijain.org/index.php/IJAIN/article/view/46.
G. Guo, S. Z. Li, and K. Chan, “Face recognition by support vector machines,†in Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000, 2000, pp. 196–201, doi: 10.1109/AFGR.2000.840634.
Y. Zhang and L. Wu, “Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine,†Sensors, vol. 12, no. 9, pp. 12489–12505, Sep. 2012, doi: 10.3390/s120912489.
D. I. R. González and J.-B. Hayet, “Fast Human Detection in RGB-D Images with Progressive SVM-Classification,†in Image and Video Technology: 6th Pacific-Rim Symposium, PSIVT 2013, Guanajuato, Mexico, October 28-November 1, 2013. Proceedings, R. Klette, M. Rivera, and S. Satoh, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014, pp. 337–348.
C. Messom and A. Barczak, “Fast and efficient rotated haar-like features using rotated integral images,†in Australian Conference on Robotics and Automation, 2006, pp. 1–6.
P. Viola and M. Jones, “Rapid object detection using a boosted cascade of simple features,†in Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, vol. 1, pp. I-511-I–518, doi: 10.1109/CVPR.2001.990517.
D. Chen, G. Jin, L. Lu, L. Tan, and W. Wei, “Infrared Image Vehicle Detection Based on Haar-like Feature,†Proc. 2018 IEEE 3rd Adv. Inf. Technol. Electron. Autom. Control Conf. IAEAC 2018, no. Iaeac, pp. 662–667, 2018, doi: 10.1109/IAEAC.2018.8577211.
C. C. Chang and C. J. Lin, “LIBSVM: A Library for support vector machines,†ACM Trans. Intell. Syst. Technol., vol. 2, no. 3, Apr. 2011, doi: 10.1145/1961189.1961199.
DOI: http://dx.doi.org/10.26555/jifo.v13i2.a13194
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