Inventors:
Subhodev Das - Princeton NJ, US
Yi Tan - Bordentown NJ, US
Ming-Yee Chiu - Princeton Junction NJ, US
Andrew Coppock - Lawrenceville NJ, US
Feng Han - Melville NJ, US
Assignee:
SRI International - Menlo Park CA
International Classification:
G06K 9/00
Abstract:
A system and method for detecting a target in imagery is disclosed. At least one image region exhibiting changes in at least intensity is detected from among at least a pair of aligned images. A distribution of changes in at least intensity inside the at least one image region is determined using an unsupervised learning method. The distribution of changes in at least intensity is used to identify pixels experiencing changes of interest. At least one target from the identified pixels is identified using a supervised learning method. The distribution of changes in at least intensity is a joint hue and intensity histogram when the pair of images pertain to color imagery. The distribution of changes in at least intensity is an intensity histogram when the pair of images pertain to grey-level imagery.