21 May 2015 Aspects of detection and tracking of ground targets from an airborne EO/IR sensor
Author Affiliations +
An airborne EO/IR (electro-optical/infrared) camera system comprises of a suite of sensors, such as a narrow and wide field of view (FOV) EO and mid-wave IR sensors. EO/IR camera systems are regularly employed on military and search and rescue aircrafts. The EO/IR system can be used to detect and identify objects rapidly in daylight and at night, often with superior performance in challenging conditions such as fog. There exist several algorithms for detecting potential targets in the bearing elevation grid. The nonlinear filtering problem is one of estimation of the kinematic parameters from bearing and elevation measurements from a moving platform. In this paper, we developed a complete model for the state of a target as detected by an airborne EO/IR system and simulated a typical scenario with single target with 1 or 2 airborne sensors. We have demonstrated the ability to track the target with `high precision' and noted the improvement from using two sensors on a single platform or on separate platforms. The performance of the Extended Kalman filter (EKF) is investigated on simulated data. Image/video data collected from an IR sensor on an airborne platform are processed using an image tracking by detection algorithm.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bhashyam Balaji, Bhashyam Balaji, Rajiv Sithiravel, Rajiv Sithiravel, Zahir Daya, Zahir Daya, Thiagalingam Kirubarajan, Thiagalingam Kirubarajan, "Aspects of detection and tracking of ground targets from an airborne EO/IR sensor", Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 947403 (21 May 2015); doi: 10.1117/12.2179283; https://doi.org/10.1117/12.2179283


UAV-based hyperspectral monitoring of small freshwater area
Proceedings of SPIE (October 09 2014)
Fused reflected/emitted light sensors
Proceedings of SPIE (October 09 2001)
Tracker fusion for robustness in visual feature tracking
Proceedings of SPIE (September 14 1995)
Multitarget multisensor closed-loop tracking
Proceedings of SPIE (July 26 2004)

Back to Top