Current infrared target acquisition approach for military sensor design and wargaming

Driggers, Ronald G.; Jacobs, Eddie L.; Vollmerhausen, Richard H.; O'Kane, Barbara L.; Self, Mid; Moyer, Steve; Hixson, Jonathan G.; Page, Gary L.; Krapels, Keith A.; Dixon, David A.; Kistner, Regina W.; Mazz, John P.

doi:10.1117/12.660963

Cited by 34 publications

(27 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is explained by the decreased area of warm body that acts as background when the actor turns sideways. 32 provide the recommended characteristic parameters for a similar two-handheld target set from an earlier study using a MWIR camera: characteristic size = 0.25 m, characteristic ∆TRSS = 4.1 K. These values are an average over all orientations used. Characteristic size is in excellent agreement with our average value of 0.245 m. Their thermal contrast is a little higher.…”

Section: Characteristic Target Set Parametersmentioning

confidence: 99%

“…The recommended V 50 is 16 for a two-handheld target set 32 . For the FLIR SC2000 camera (with an assumed fill factor of 1) we make range predictions with NVThermIP using the average characteristic parameters from Table 1 …”

Section: Range Prediction With the Nvthermip Modelmentioning

confidence: 99%

“…For instance, a large effort of the US research laboratory is directed towards extension of the current models for different target sets such as small arms 17,18 , clothing 19 , paramilitary and civilian vehicles 20 , small boats 21 , or even faces 22 in different spectral regions. A recent overview of the results is given by Driggers et al 23 . However, the imagery used in the experiments are static and recorded at a single short range.…”

Section: Introductionmentioning

confidence: 99%

“…• validation of earlier TA data reported for two-handheld targets 23 : V 50 for NVthermIP and M 75 for the TOD model 15 , and slope of the probability vs range relationship.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Target acquisition performance: effects of target aspect angle, dynamic imaging, and signal processing

Beintema¹,

Bijl²,

Hogervorst³

et al. 2008

SPIE Proceedings

View full text Add to dashboard Cite

In an extensive Target Acquisition (TA) performance study, we recorded static and dynamic imagery of a set of military and civilian two-handheld objects at a range of distances and aspect angles with an under-sampled uncooled thermal imager. Next, we applied signal processing techniques including DSR (Dynamic Super Resolution) and LACE (Local Adaptive Contrast Enhancement) to the imagery. In a perception experiment, we determined identification (ID) and threat/non-threat discrimination performance as a function of target range for a variety of conditions. The experiment was performed to validate and extend current TA models. In addition, range predictions were performed with two TA models: the TOD model and NVThermIP. The results of the study are: i) target orientation has a strong effect on performance, ii) the effect of target orientation is well predicted by the two TA models, iii) absolute identification range is close the range predicted with the two models using the recommended criteria for two-handheld objects, iv) there was no positive effect of sensor motion on performance, and this was against the expectations based on earlier studies, v) the benefit of DSR was smaller than expected on the basis of the model predictions, and vi) performance with LACE was similar to performance on an image optimized manually, indicating that LACE can be used to optimize the contrast automatically. The relatively poor results with motion and DSR are probably due to motion smear induced by a higher camera speed than used in earlier studies. Camera motion magnitude and smear are not yet implemented in TA models.

show abstract

Section: Characteristic Target Set Parametersmentioning

confidence: 99%

Section: Range Prediction With the Nvthermip Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…• validation of earlier TA data reported for two-handheld targets 23 : V 50 for NVthermIP and M 75 for the TOD model 15 , and slope of the probability vs range relationship.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Target acquisition performance: effects of target aspect angle, dynamic imaging, and signal processing

Beintema¹,

Bijl²,

Hogervorst³

et al. 2008

SPIE Proceedings

View full text Add to dashboard Cite

show abstract

“…The applicability of IR cameras in dark environments is the most motivating factor for using IR imagery in computer vision applications. Some examples include military applications such as target acquisition [20], autonomous vehicle navigation [66], collision avoidance [88], terrain analysis [69], etc. ; and surveillance applications like pedestrian detection/tracking [4], [52], face detection/recognition [43], [77], etc.…”

Section: Goals and Motivationmentioning

confidence: 99%