期刊文献+

融合显著性计算和高效子窗口搜索的目标检测方法

A Target Detection Method based on Fusing Saliency Calculation and Efficient Subwindow Search
下载PDF
导出
摘要 为了实现航空侦察图像的快速目标检测,提出了融合显著性计算和高效子窗口搜索的目标检测方法。主要将目标的显著特征计算集成到搜索过程中,并通过高效子窗口搜索框架实现快速检测。针对航空侦察图像的目标检测实验表明,与显著图计算和高效子窗口搜索分开实施相比,新方法更加简洁和高效,且保持了原有的目标定位效果。 In order to implement fast target detection for aerial reconnaissance image,the target detection method based onfusing saliency calculation and efficient subwindow search is presented. It mainly integrates the saliency feature calculation of thetarget into the search process and realizes the fast detection through the efficient subwindow search framework. The detection experi-ments of aerial reconnaissance images show that the new method is simpler and more efficient than separately implementing the sa-liency map calculation and efficient subwindow search,and meanwhile maintains the original target positioning effect.
出处 《舰船电子工程》 2017年第12期29-33,共5页 Ship Electronic Engineering
关键词 目标检测 显著性计算 高效子窗口搜索 target detection saliency calculation efficient subwindow search
  • 相关文献

参考文献2

二级参考文献24

  • 1Zhu S, Lee T, Yuille A. Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation. IEEE Trans on Pattern Analysis and Machine Intelligence, 1996, 18(9): 884-900
  • 2Tu Z W, Zhu S C. Image Segmentation by Data-Driven Markov Chain Monte Carlo. IEEE Trans on Pattern Analysis and Machine Intelligence, 2002, 24(5): 657-673
  • 3Fukunaga K, Hostetler L D. The Estimation of the Gradient of a Density Function, with Applications in Pattern Recognition. IEEE Trans on Information Theory, 1975, 21 (1) : 32-40
  • 4Comaniciu D, Meer P. Mean Shift: A Robust Approach toward Feature Space Analysis. IEEE Trans on Pattern Analysis and Machine Intelligence, 2002, 24(5): 603-619
  • 5Comaniciu D, Meer P. An Algorithm for Data-Driven Bandwidth Selection. IEEE Trans on Pattern Analysis and Machine Intelligence, 2003, 25(2): 281-288
  • 6Cheng Y. Mean Shift, Mode Seeking, and Clustering. IEEE Trans on Pattern Analysis and Machine Intelligence, 1995, 17 (8): 790-799
  • 7Malik J, Belongie S, Leung T, et al. Contour and Texture Analysis for Image Segmentation. International Journal of Computer Vision, 2001, 43(1): 7-27
  • 8Shi J B, Malik J. Normalized Cuts and Image Segmentation. IEEE Trans on Pattern Analysis and Machine Intelligence, 2000, 22(8): 888-905
  • 9Martin D, Fowlkes C, Malik J. Learning to Detect Natural Image Boundaries Using Local Brightness, Color and Texture Cues. IEEE Trans on Pattern Analysis and Machine Intelligence, 2004, 26(5): 530-549
  • 10Bennamoun M, Mamic G. Object Recognition. London, UK: Springer, 2002

共引文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部