KIEE - The Transactions of the Korean Institute of Electrical Engineers

1

P. Goel, S. Agarwal, 2012, Hybrid Approach of Haar Cascade Classifiers and Geometrical Properties of Facial Features Applied to Illumination Invariant Gender Classification System, 2012 International Conference on Computing Sciences, pp. 132-136

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G. B. Li, H. F. Wu, 2011, Weighted fragments-based mean shift tracking using color-texture histogram, Journal for ComputerAided Design and Computer Graphics, Vol. 12, No. 12, pp. 2059-2066

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J. Zhu, Y. Lao, Y. F. Zheng, 2010, Object Tracking in Structured Environments for Video Surveillance Applications, in IEEE Transactions on Circuits and Systems for Video Technology, Vol. 20, No. 2, pp. 223-235

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R. Girshick, J. Donahue, T. Darrell, J. Malik, 2014, Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp. 580-587

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R. Girshick, 2015, Fast r-cnn, Proceeding of the IEEE international conference on computer vision., pp. 1440-1448

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S. Ren, K. He, R. Girshick, J. Sun, 2017, Faster R-CNN: Towards real-time object detection with region proposal networks, IEEE Trans. Pattern Anal. Mach. Intell., Vol. 39, No. 6, pp. 1137-1149

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J. Redmon, S. Divvala, R. Girshick, A. Farhadi, 2016, You only look once: Unifified, real-time object detection, in Proc. IEEE Conf. Computation. Vis. Pattern Recognition. (CVPR), pp. 779-788

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W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, A. C. Berg, 2016, SSD: Single shot Multi-Box detector, in Proc. ECCV, pp. 21-37

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K. He, X. Ren, S., 2016, Deep residual learning for image recognition, IEEE Conf. On Computer Vision and Pattern Recognition, pp. 770-778

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L. Chen, Z. Zhang, L. Peng, 2018, Fast single shot multibox detector and its application on vehicle counting system, IET Intelligent Transport Systems, Vol. 12, No. 10, pp. 1406-1413

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L. Gao, P. Chen, S. Yu, 2016, Demonstration of convolution kernel operation on resistive cross-point array, in IEEE Electron Device Letters, Vol. 37, No. 7, pp. 870-873

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S. Ozturk, U. Ozkaya, B. Akdemir, L. Seyfi, 2018, Convolution kernel size effect on convolutional neural networks in histopathological image processing Applications, 2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE), pp. 1-5

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P. Sermanet, D. Eigen, X. Zhang, M. Michael, R. Fergus, Y. LeCun, 2017, OverFeat: Integrated recognition, localization and detection using convolutional networks, in IEEE Electron Device Letters, pp. 256-260

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K. M. He, X. Y. Zhang, S. Q. Ren, J. Sun, 2015, Spatial pyramid pooling in deep convolutional networks for visual recognition, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 37, No. 9, pp. 1904-1916

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W. Pei, Y. M. Xu, Y. Y. Zhu, P. Q. Wang, M. Y. Lu, F. Li, 2019, The target detection method of aerial photography images with improved SSD, Ruan Jian Xue Bao/Journal of Software, Vol. 30, No. 3, pp. 738-758

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J. W. Chu, L. S. Ji, L. Guo, B. B. Li, R. B. Wang, 2004, Study on method of detecting preceding vehicle based on monocular camera, IEEE Intelligent Vehicles Symposium, pp. 750-755

26

J. Park, Y. Cho, B. Yoo, J. Kim, 2015, Autonomous collision avoidance for unmanned surface ships using on board monocular vision, OCEANS 2015 MTS/IEEE Washington, pp. 1-6

KIEEThe Transactions of
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The Transactions of the Korean Institute of Electrical Engineers

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KIEEThe Transactions ofthe Korean Institute of Electrical Engineers