Stable imaging tracking method based on learning online for ground moving target with multi-DSP processing

摘要：

A stable imaging tracking method based on learning online for ground moving target with multi-DSP processing is presented in this paper. Background window is set to track and predict the background image and supervise the intruder. The target learning online based on background prediction revises the accumulated tracking error. Different tracking strategy during different tracking states and risk level of intruder improves the stability and accuracy of tracking system especially in a long time of continual tracking. The parallel processing based on multiple DSP makes a real-time tracking system be possible.

关键词： moving target tracking moving platform background prediction learning online detection online

作者: Yun Li Sheng Zhong

作者单位: National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Institut National Key Laboratory of Science and Technology on Multi-spectral Information Processing,Institute

会议类型: 国际会议

会议名称: 第七届多光谱图象处理与模式识别国际学术会议

会议地点: 桂林

会议语种:英文

页码: 1-7

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）