自适应复杂背景干扰的运动目标检测算法
王东京, 张宝辉, 陈弘原, 王润宇, 吴杰, 吴旭东. 自适应复杂背景干扰的运动目标检测算法[J]. 红外技术, 2017, 39(11): 1024.
WANG Dongjing, ZHANG Baohui, CHEN Hongyuan, WANG Runyu, WU Jie, WU Xudong. Moving-target Detection Algorithm Adapting Complex Background Interference[J]. Infrared Technology, 2017, 39(11): 1024.
[1] 杨智雄,余春超,严敏,等.基于特征融合的粒子滤波红外目标跟踪算法[J].红外技术,2016,38(3):211-217.
[2] 李倩倩,刘彦隆.先验信息光流法在运动目标检测中的应用[J].火力与指挥控制,2015(10):156-160.
LI Qianqian, LIU Yanlong. Based on Optical Flow Method with Priori Information in the Application of Detecting Moving Target Tracking[J]. Fire Control & Command Control, 2015(10):156-160.
[3] Shen Y, Hu W, Yang M, et al. Real-time and Robust Compressive Background Subtraction for Embedded Camera Networks[J]. IEEE Transactions on Mobile Computing, 2016, 15(2): 406-418.
[4] Hu X, Zheng J. An Improved Moving Object Detection Algorithm Based on Gaussian Mixture Models[J]. Open Journal of Applied Sciences, 2016, 6(7): 449-456.
[5] Zeng Z. Moving Object Extraction Using the Improved Adaptive Gaussian Mixture Model and Shadow Detection Model[J]. Journal of Information & Computational Science, 2015, 12(14): 5515-5522.
[6] Hofmann M, Tiefenbacher P, Rigoll G. Background segmentation with feedback: The Pixel-Based Adaptive Segmenter[C]//Computer Vision and Pattern Recognition Workshops. IEEE, 2012: 38-43.
[7] Wang H, Suter D. Background Subtraction Based on a Robust Consensus Method[C]//International Conference on Pattern Recognition, IEEE, 2006: 223-226.
[8] Barnich O, Van D M. ViBe: a universal background subtraction algorithm for video sequences[J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 2011, 20(6): 1709-1724.
[9] 孙丰,秦开怀,孙伟,等.一种针对移动相机的实时视频背景减除算法[J].计算机辅助设计与图形学学报,2016,28(4):572-578.
Sun Feng, Qin Kaihuai, Sun Wei, et al. A Real-Time Background Subtraction Algorithm for Freely Moving Cameras[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(4): 572-578.
[10] Zivkovic Z, Heijden F V D. Efficient adaptive density estimation per image pixel for the task of background subtraction[J]. Elsevier, 2006, 27(7): 773-780.
[11] 解婷,陈忠,马荣毅.一种基于PGF、BEMD和局部逆熵的新型红外小目标检测方法[J].红外与毫米波学报,2017,36(1):92-101.
[12] N. Goyette, P.-M. Jodoin, F. Porikli, et al. Change detection.net: A new change detection benchmark dataset[C]//Proc. IEEE Workshop on Change Detection (CDW-2012) at CVPR-2012, 2012: 16-21.
王东京, 张宝辉, 陈弘原, 王润宇, 吴杰, 吴旭东. 自适应复杂背景干扰的运动目标检测算法[J]. 红外技术, 2017, 39(11): 1024. WANG Dongjing, ZHANG Baohui, CHEN Hongyuan, WANG Runyu, WU Jie, WU Xudong. Moving-target Detection Algorithm Adapting Complex Background Interference[J]. Infrared Technology, 2017, 39(11): 1024.
PDF全文
