Fast Aerial UAV Detection Based on Image Segmentation and HOG-FLD Feature Fusion
By: Li Xiaoping, Lei Songze, Wang Yanhong, Xiao Feng and Penghui Tian
References
- J. Barron, D. Fleet, S. Beauchemin, “Performance of optical flow techniques,” International Journal of Computer Vision, vol. 12, pp. 42–77, 1944.
- A. Lipton, H. Fujiyoshi, R. Patil, “Moving target classification and tracking from real-time video,” Proc IEEE Workshop on Applications of Computer Vision,, pp. 8–14, 1998.
- Dalaln, Triggs B, “Histograms of oriented gradients for human detection,” Proc IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–8, 2005.
- Qiang Zhu, Shai Avidan, Mei Chen Yeh, and Kwang Ting Cheng, “Fast human detection using a cascade of histograms of oriented gradients,” Proc. IEEE international Conference on Computer Vision and Pattern Recognition, 2006.
- Suard F, Akotomamonjy A R, Bensrhair A, etal, “Pedestrain Detection Using Infrared Images and Histograms of Oriented Gradients,” Proceedings Intelligent Vehicle Symposium, pp. 206–212, 2006.
- Felzenszwalb P F, Huttenlocher D P, Efficient Graph-Based Image Segmentation,” Internatinal Journal of Computer Vision, vol. 59, pp. 167–181, 2004.
- Humayun A, Li F, Rehg J M. Rigor, “Reusing Inference in Graph Cuts for Generating Object Regions,” Proc. IEEE Computer Vision and Pattern Recognition, pp. 336–343, 2014.
- Vapnik V N, The nature of statistical learning theory,” Springer-Verlag, New York, pp. 37–69, 1995.
- Guo Mingwei, Zhao Yuzhou, Xiang Junping, etal, “A Survey of Target Detection Algorithms Based on Support Vector Machine,” Control and Decision, vol. 29, pp. 192–200, 2014.
- Zhang Han, He Dongjian, An Image Segmentation Method Based on Texture Information and Graph Theory,” Computer Science and Engineering, vol. 50, pp. 180–184, 2014.
- Zhai Jiyou, Zhuang Yan, Significant Detection of Boundary Prior and Adaptive Region Merging,” Computer Engineering and Application, 2017.
- Chen Shanchao, Fu Hongguang, Wang Ying, Application of An Improved Graph Segmentation method in Tongue Image Segmentation,” Computer Engineering and Application, vol. 48, pp. 201–203, 2012.
- Yan Yu, Song Wei, Color and Texture Mixed Descriptor Image Retrieval Method,” Computer Science and Exploration, pp. 1–8, 2016.
- Ye Qing, Hu Changbiao, An improved Image Segmentation Method Based on Graph Theory,” Computer and Modernization, vol. 253, pp. 64–67, 2016.
- Sande K E A V D, Uijlings J R R, Gevers T, etal, “Segmentation as selective search for object recognition,” International Conference on Computer Vision. IEEE Computer Society, pp. 1879–1886, 2011.
- Girshick R, Donahue J, Darrell T, etal, “Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation,” Computer Science, pp. 580–587, 2014.
- Wang Ping, Wei Zheng, Cui Weihong, A Minimum Spanning Tree Image Segmentation Criterion Based on Statistical Learning Theory,” Information Science Edition, Journal of Wuhan University, vol. 42, pp. 878–883, 2017.
- Belhumeur P, Kriegman D, Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, pp. 711–720, 1997.
DOI: https://doi.org/10.21307/ijanmc-2018-020 | Journal eISSN: 2470-8038
Language: English
Page range: 106 - 114
Published on: May 7, 2018
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Related subjects:
© 2018 Li Xiaoping, Lei Songze, Wang Yanhong, Xiao Feng, Penghui Tian, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.