1. 北京理工大学 信息与电子学院,北京,100081
2. 天地一体化信息技术国家重点实验室(筹),北京,100086
3. 航天恒星科技有限公司,北京,100086
纸质出版:2016
移动端阅览
聂振钢, 孙协昌, 梁银川. 基于多特征Mean-Shift的灵巧弹药末制导跟踪算法[J]. 微电子学与计算机, 2016, 33(5): 89-91, 96.
NIE Zhen-gang, SUN Xie-chang, LIANG Yin-chuan. A Target Tracking Algorithm of Smart Munition Based on Multiple Features[J]. 2016, 33(5): 89-91.
针对灵巧弹药在复杂背景下跟踪目标的问题
将跟踪目标颜色信息和边缘信息进行融合
提出了一种基于多特征的Mean-Shift跟踪算法
从而解决了复杂背景下跟踪目标的鲁棒性问题.应用色差空间表示跟踪目标的颜色信息
同时引入边缘信息表示跟踪目标的纹理信息
从而可以有效解决复杂背景下Mean Shift跟踪鲁棒性问题.应用色差空间代替色调空间
并用反映射方法求解加权值
从而节省了运算复杂度
满足实时性要求.实验结果表明
改进算法跟踪性能较经典Mean Shift法具有明显提高
满足工程应用需求.
For the accurate target tracking of smart munitions under complex background
a improved Mean Shift tracking algorithm based on color features and edge feature is proposed to improve the robustness of the Mean Shift algorithm. Due to a color-difference space is introduced to represent color features and edge information is introduced to represent texture feature
the robustness of Mean Shift algorithm is significantly enhanced. Using color-difference space instead of hue space and using back-projection method to resolve weighted coefficients
the complexity of algorithm is reduced and the real-time demand is meet. Experimental results show that compared with the state-art Mean Shift algorithm
the proposed multiple feature Mean Shift algorithm has improved the tracking performance and suited to engineering implementation. autonomous landing.
DComaniciu, P Meer, Mean shift. A robust approach toward feature space analysis[J]. IEEE Trans Patten Analysis and Machine Intelligence, 2002, 23(5): 603-619. DOI: 603
Yizong Cheng. Mean Shift, mode seeking, and clustering[J]. IEEE Trans Patten Analysis and Machine Intelligence, 1995, 17(8): 790-799. DOI: 790
Gary R Bradski. Computer vision face tracking for use in a perceptual user interface[J]. Intel Technology Journal, 1998, 18(3): 231-247. DOI: 231
Jordan J, Angelopoulou E. Mean-shift clustering for interactive multispectral image analysis[C]//proceedings of 2013 IEEE International Conference on Image Processing. Merbourne: IEEE, 2013: 3790-3794.
刘汉忠, 顾晓辉. 灵巧弹药半实物仿真系统及模型[J] 火力与指挥控制, 2005, 30(1): 55-58. DOI: 55
Demitri N, Zoubir A M. A robust kernel density estimator based mean-shiftalgorithm[C]//proceedings of the 2014 IEEE International Conference on Acoustics, Speech and Signal. Florence: IEEE, 2014: 7964-7968.
Xiao An, Jaedo Kim, Youngjoon Han. Optimal colour-based mean shift algorithm for tracking objects[J]. Computer Vision, 2014, 8(3): 235-244. DOI: 235
0
浏览量
8
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010602201714号