Two Statistical Filters for Detecting Changes in Color Images

摘要：

Two spatial statistical filters for the detection of changes in two color images are presented. Both are implemented efficiently using sliding windows and result in F-distributed test statistics, which are used to test the null (no-change) hypothesis for each pixel in the image. The first method tests for no changes in the model parameters used to describe the statistics in the region of the image surrounding a given test pixel. The second method uses two concentric windows centered on the test pixel and tests for equal squared differences summed over the two (foreground and background)windows. The second method was found to be superior to the first. A single illustrative example is presented.

关键词： Object detection Image motion analysis Spatial filters Surveillance

作者: Hugh L.Kennedy

作者单位: Technical Knockout Systems Pty.Ltd., LPO Box 8150, ANU Acton, ACT 0200, Australia ;Pacific Noise and Vibration Pty.Ltd., GPO Box 429, Canberra, ACT 2601, Australia

会议类型: 国际会议

会议名称: The International Colloquium on Onformation Fusion 2007(2007年国际信息融合研讨会)

会议地点: 西安

会议语种:英文

页码: 279-282

在线出版日期: 2007-08-22（万方平台首次上网日期，不代表论文的发表时间）