Method and system of progressive analysis for assessment of occluded data and redundant analysis for confidence efficacy of non-occluded data

A system of progressive analysis for assessment of occluded data, the system comprising:

• at least one sensor input to capture sensor data of a scene;
• a user input module to identify a target of interest using the sensor data;
• a synchronization module to determine a location and orientation of the target of interest using a last computed direction of travel of the target;
• a processing module to segment the sensor data of the target of interest into segments for analysis, update a database with data of the target of interest's location and orientation, initialize data parameters and cache the data for the target of interest;
• initialize segment parameters and cache the segments of the target of interest, identify a particular non-occluded segment of the target of interest, update the database with the data of the particular non-occluded segment, analyze the particular non-occluded segment to establish a confidence level of the particular non-occluded segment, identify a particular occluded segment of the sensor data, update the database with the data of the particular occluded segment;
• additional sensor data captured from a second sensor input using frequencies of visible, infrared, millimeter or terahertz, that are different frequencies from the sensor data of the at least one sensor input when the particular occluded segment is identified to determine whether the additional sensor data confirms that the particular occluded segment remains occluded to establish a confidence level;
• and
• a display for displaying the particular occluded segment to a user.

A non-transitory processor readable medium having processor instructions that are executable to cause a processor to:

• capture sensor data from at least one sensor;
• identify a target of interest using the sensor data;
• determine a location and orientation of the target of interest using a last computed direction of travel of the target;
• segment the sensor data of the target of interest into segments for analysis;
• update a database with data of the target of interest's location and orientation;
• initialize data parameters and caching the data for the target of interest;
• initialize segment parameters and caching the segments of the target of interest;
• identify a particular non-occluded segment of the target of interest;
• update the database with the data of the particular non-occluded segment;
• analyze the particular non-occluded segment to establish a confidence level of the particular non-occluded segment;
• determine whether a particular segment of the segments is occluded;
• identify the particular occluded segment;
• update the database with the data of the particular occluded segment;
• capture additional sensor data from a second sensor using frequencies of visible, infrared, millimeter or terahertz, that are different frequencies from the sensor data of the at least one sensor when the particular occluded segment is identified;
• determine whether the additional sensor data from the at least one sensor confirms that the particular occluded segment remains occluded;
• and
• display the particular occluded segment that remains occluded to a user.