Abstract – Performance evaluation of simultaneous tracking and identification (STID) systems consists of measures of performance, measures of effectiveness, and measures of force effectiveness. To investigate the capability of STID, we extend track purity to a current assignment ratio. Track purity determines the correctly associated measurements for a given scan where as the Current Assignment Ratio (CAR) determines the correct measurements for a given track. Using the CAR aids sensor management algorithms in determining which targets have robust features for target identification in clutter, such that the target can be tracked. The CAR enables effectiveness evaluation of STID systems for mission success. In the paper, we review the fusion...
To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a new pai...
The paper presents, in three parts, a new approach to improve the detection and tracking performance...
When tracking multiple targets using multiple sensors, the performance evaluation of different estim...
Abstract – Performance evaluation of simultaneous tracking and identification (STID) systems consist...
Automated tracking of vehicles and people is essential for the effective utilization of imagery in w...
This work addresses the association of moving-target indicator (MTI) tracks, EO and SAR imagery (IMI...
In this lecture we discuss a number of concerns and items of interest that related to the tracking o...
Battle management decision making requires a composite picture of the environment, including identif...
This technical report describes a method for assessing the performance of auto-matic tracking system...
Abstract:- The paper addresses the problem of the target-tracking in military surveillance operation...
Fusion on track level is desirable for automotive perceptions systems since it enables the use of di...
Multi-sensor fusion for multiple target tracking in cluttered environments is needed for improving t...
Modern cars utilise Advanced Driver Assistance Systems (ADAS) in several ways. In ADAS, the use of m...
Abstract – Distributed target tracking and identification is an important element of operational env...
In this paper measures of performance (MOP's) are discussed with which the efectiveness of sensor fu...
To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a new pai...
The paper presents, in three parts, a new approach to improve the detection and tracking performance...
When tracking multiple targets using multiple sensors, the performance evaluation of different estim...
Abstract – Performance evaluation of simultaneous tracking and identification (STID) systems consist...
Automated tracking of vehicles and people is essential for the effective utilization of imagery in w...
This work addresses the association of moving-target indicator (MTI) tracks, EO and SAR imagery (IMI...
In this lecture we discuss a number of concerns and items of interest that related to the tracking o...
Battle management decision making requires a composite picture of the environment, including identif...
This technical report describes a method for assessing the performance of auto-matic tracking system...
Abstract:- The paper addresses the problem of the target-tracking in military surveillance operation...
Fusion on track level is desirable for automotive perceptions systems since it enables the use of di...
Multi-sensor fusion for multiple target tracking in cluttered environments is needed for improving t...
Modern cars utilise Advanced Driver Assistance Systems (ADAS) in several ways. In ADAS, the use of m...
Abstract – Distributed target tracking and identification is an important element of operational env...
In this paper measures of performance (MOP's) are discussed with which the efectiveness of sensor fu...
To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a new pai...
The paper presents, in three parts, a new approach to improve the detection and tracking performance...
When tracking multiple targets using multiple sensors, the performance evaluation of different estim...