计算机科学 ›› 2010, Vol. 37 ›› Issue (8): 273-275289.
• 图形图像 • 上一篇 下一篇
林庆,陈远祥,王士同,詹永照
出版日期:
发布日期:
基金资助:
LIN Qing,CHEN Yuan-xiang,WANG Shi-tong,ZHAN Yong-zhao
Online:
Published:
摘要: 针对传统的McanShift跟踪算法在目标发生遮档时容易导致目标丢失的情况,提出了一种改进的McanShift跟踪算法。将多尺度空间理论、Kalman滤波器与遮档算法相结合,当目标发生遮挡后,利用Kalman佑计目标信息量,能对目标尺寸有后续跟踪能力。实验结果表明,当目标发生遮档后,改进的跟踪算法对目标无论增大或减小都能连续地、自动地选择大小合适的跟踪窗口。
关键词: Kalman,信息量,MeanShift,遮挡
Abstract: An improved Mean-Shift based tracking algorithm was proposed to solve the poor tracking ability problem in occlusions. Combinating multi-scale space theory, Kalman filter and occlusion, it can have a good tracking about scale using Kalman when target has been occluded. The experimental results show that the improved algorithm can select the proper size of the tracking window in the scenarios when the target has been occluded.
Key words: Kalman, Amount of information measure, McanShift, Occlusion
林庆,陈远祥,王士同,詹永照. 窗口尺寸变化目标的遮挡跟踪[J]. 计算机科学, 2010, 37(8): 273-275289. https://doi.org/
LIN Qing,CHEN Yuan-xiang,WANG Shi-tong,ZHAN Yong-zhao. MeanShift Tracking Algorithm with the Adaptive Bandwidth of the Target in Occlusions[J]. Computer Science, 2010, 37(8): 273-275289. https://doi.org/
0 / / 推荐
导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks
链接本文: https://www.jsjkx.com/CN/
https://www.jsjkx.com/CN/Y2010/V37/I8/273
Cited