Layered Sensing Bio-Signatures for Dismount Tracking

ABSTRACT: Bio-signature is a new area of research that may be used for tracking and identification (ID) of dismounts through remote sensing. Typical''cooperative''bio-signatures (e.g. fingerprints, retinal scans) require that an individual agreeably come in contact with a sensor, which is not applicable to realistic battlefield conditions, tracking non-cooperative dismounts. Toyon proposes to develop non-cooperative and remote bio-signature technologies that can be integrated with fusion and ATR algorithms and applied to multi-layer sensing networks. An Exploitation and Feature Extraction (EFE) module will be designed for each type of sensor in the layered sensing architecture. The unique features extracted from each sensor will be included with that sensor's measurements as they are sent to an Autonomous Tracked Object Manager (ATOM). ATOM will use sensor measurements and features to ID and track targets of interest. ATOM will also interface with a database search and correlation tool that can query a biometric database such as the Automated Biometric Identification System (ABIS) and correlate the target's features with stored biometrics on known targets. ATOM will also feed target tracks to platform/sensor control optimization algorithms that provide C2 feedback to the sensors in the system to maximize information gain. BENEFIT: There is a great interest in surveillance technologies that track and identify objects and dismounts. The proposed technology will use features to maintain continuous long-term track on a target of interest. Continuous long-term tracks are necessary to identify anomalous target behavior, highlight illicit activities, and engage targets. Further, the proposed work will help identify non-cooperative dismounts using remote sensors, from standoff distances that were previously impossible. This addresses essential capability requirements in layered sensing systems, and will help support effective use of bio-signatures to identify and track dismounts. This identity information can help intelligence analysts connect specific people to events and locations, and learn about insurgent operations.