US 12,272,117 B1
System and method for YATO/YANTO classification
Benjamin P. Wood, Bedford, MA (US); Jeffrey A. Wallace, Nashua, NH (US); Jacob Branchaud, Londonberry, NH (US); and Marc J. Fredette, Manchester, NH (US)
Assigned to BAE Systems Information and Electronic Systems Integration Inc., Nashua, NH (US)
Filed by BAE SYSTEMS INFORMATION AND ELECTRONIC SYSTEMS INTEGRATION INC., Nashua, NH (US)
Filed on Apr. 20, 2022, as Appl. No. 17/725,149.
Int. Cl. G06V 10/764 (2022.01); G06V 10/70 (2022.01)
CPC G06V 10/764 (2022.01) [G06V 10/768 (2022.01)] 19 Claims
OG exemplary drawing
 
1. A computer program product including at least one non-transitory computer readable storage medium having instructions encoded thereon that, when executed by one or more processors, implement a process track an object, the process comprising:
tracking a moving object via at least one passive sensor on at least one platform;
obtaining temporal data and angular data of the object relative to the platform via the passive sensor;
tabulating the temporal data and angular data of the object over a period of time;
extracting features from the temporal data and angular data of the object;
generating a feature vector from the features that were extracted;
providing the feature vector to a machine learned classifier; and
determining, via the machine learned classifier analyzing the feature vector, whether the object is moving toward the platform and considered You Are The One (YATO) or if not moving toward the platform and considered You Are Not The One (YANTO).