A New CSR-DCF Tracking Algorithm based on Faster RCNN Detection Model and CSRT Tracker for Drone Data |
Farhodov, Xurshid
(Dept. of IT Convergence and Application Engineering, Pukyong National University)
Kwon, Oh-Heum (Dept. of IT Convergence and Application Engineering, Pukyong National University) Moon, Kwang-Seok (Dept. of Electronics Engineering, Pukyong National University) Kwon, Oh-Jun (Dept. of Computer Software Engineering, Dongeui University) Lee, Suk-Hwan (Dept. of Information Security, Tongmyong University) Kwon, Ki-Ryong (Dept. of IT Convergence and Application Engineering, Pukyong National University) |
1 | A. Yilmaz, O. Javed, and M. Shah, "Object Tracking: A Survey," ACM Computing Surveys, Vol. 38, No. 4, pp.1-45, 2006. DOI |
2 | A. Ali, A. Jalil, J.W. Niu, X.K. Zhao, S. Rathore, J. Ahmed, et al., “Visual Object Tracking-classical and Contemporary Approaches,” Frontiers of Computer Science, Vol. 10, No. 1, pp. 167-188, 2016. DOI |
3 | A.H.A. El-Shafie and S.E.D. Habib, "A Survey on Hardware Implementations of Visual Object Trackers," Electrical Engineering and Systems Science, Image and Video Processing, arXiv:1711.02441, 2017. |
4 | P. Viola and M. Jones, "Robust Real-time Object Detection," Proceeding of Second International Workshop on Statistical and Computational Theories of Vision-modeling, Learning, Computing, and Sampling, pp.1-45, 2001. |
5 | J.B. Lim and I.K. Ha, “Analysis of Drone Target Search Performance According to Environment Change,” Journal of Korea Multimedia Society, Vol. 22, No. 10, pp. 1178-1186, 2019. DOI |
6 | N. Dalal and B. Triggs, "Histograms of Oriented Gradients for Human Detection," Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 20-25, 2005. |
7 | A. Krizhevsky, I. Sutskever, and Geoffrey E. Hinton, "ImageNet Classification with Deep Convolutional Neural Networks," Proceeding of the 25th International Conference on Neural Information Processing Systems, Vol. 1, pp. 1097-1105, 2012. |
8 | R. Girshick, J. Donahue, T. Darrell, and J. Malik, “Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation,” Computer Vision and Pattern Recognition, Vol. 1, No. 1, pp. 1-8, 2014. |
9 | R. Girshick, "Fast R-CNN," Computer Vision and Pattern Recognition, Vol. 1, No. 1, pp.1-9, 2015. DOI |
10 | R. Girshick, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks," Computer Vision and Pattern Recognition, Vol. 1, No. 1, pp. 1-14, 2016. |
11 | Object Detection, https://en.m.wikipedia.org/wiki/Object_detection, Oct. 2018. |
12 | S. Phon-Amnuaisuk, K.T. Murata, P. Pavarangkoon, K. Yamamoto, and T. Mizuhara, "Exploring the Applications of Faster R-CNN and Single-shot Multi-box Detection in a Smart Nursery Domain," Computer Vision and Pattern Recognition, arXiv:1808.08675v1, 2018. |
13 | R.C. Gonzalez and R.E. Woods, Digital Image Processing. Pearson(4 edition), 2017. |
14 | Faster RCNN, https://towardsdatascience.com/faster-rcnn-object-detection-f865e5ed7fc4, Nov. 2018. |
15 | Region Proposal Network (RPN)-Backbone of Faster RCNN, https://medium.com/egen/region-proposal-network-rpn-backbone-offaster-r-cnn-4a744a38d7f9, Aug. 2018. |
16 | Understanding the Impact of Learning Rate on Neural Network Performance, https://machinelearningmastery.com/understand-thedynamics-of-learning-rate-on-deep-learning-neural-networks/, Jan. 2019. |
17 | A. Lukezic, T. Vojir, L.C. Zajc, J. Matas, and M. Kristan, "Discriminative Correlation Filter Tracker with Channel and Spatial Reliability," International Journal of Computer Vision: Vol. 126, Issue 7, pp. 671-688, 2018. DOI |
18 | OpenCV Dnn Module, Net Class Reference, https://docs.opencv.org/master/db/d30/classcv_1_1dnn_1_1Net.html, Nov. 2018. |