&lt;title&gt;Precision trackpoint control via correlation track referenced to simulated imagery&lt;/title&gt;

Brunson, Richard L.; Boesen, Dennis L.; Crockett, Gregg A.; Riker, Jim F.

doi:10.1117/12.138185

Cited by 10 publications

(5 citation statements)

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“…The traditional method to improve the correlation tracking process in noise is to employ an alpha tracker to update the memory image, as described in 4,5 . The alpha tracker smoothes the update of the reference image in memory; where the amount of change in the reference image is determined by the variable α.…”

Section: Updating the Reference Imagementioning

confidence: 99%

“…The edge enhanced correlation tracker is shown in fig 3. Edge enhancement attempts to overcome some of the problems associated with using greyscale imagery in a typical correlation tracker. Indeed the use of some form of edge enhancement can be found in the tracking systems described in 2,4 . The main problems associated with a typical greyscale correlation tracker are: (a) the strong correlation between the reference image and the background, and (b) the tendency of 'bright' features to dominate the matching process.…”

Section: An Edge Enhanced Correlation Trackermentioning

confidence: 99%

“…There are three common detection methods for imaging tracking systems, pixel tracking, centroid tracking, and correlation tracking; an excellent summary of these methods can be found in Blackman and Popoli 1 . This paper is concerned with correlation based tracking [2][3][4][5] and in particular the correlation matching and referenceimage-update subsystem. A typical system behaves as follows: 1.…”

Section: Introductionmentioning

confidence: 99%

“…Updating the reference image without introducing noise or clutter is critical to the performance of correlation tracking systems, and previous research in correlation tracking has focused on this problem. This includes the process of time based smoothing of the reference image by Fitts 5 and Brunson 4 to reduce noise, which we term alpha tracking, as well as Chien's adaptive window method 2 of updating the reference image.…”

Section: Introductionmentioning

confidence: 99%

“…Here the amplitude of * S and R are removed from equation 2through factorisation to create a symmetric phase only matched filter (SPOMF). Using equation (4) results in a very clean correlation surface, false matches are suppressed, leaving a distinct peak marking the location of the correct match.…”

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confidence: 99%

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<title>Advanced correlation tracking of objects in cluttered imagery</title>

Wong

2005

SPIE Proceedings

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Correlation tracking is used in civilian and military automatic target recognition and surveillance systems, to track objects based on their 2-dimensional shape. However traditional correlation-tracking systems have difficulty robustly detecting an object when the object is partially obscured by clutter. This paper describes one of the main problems of image-based correlation tracking systems, and proposes a novel solution. The reference image update problem occurs when the tracked object undergoes rapid shape change in the presence of clutter, here the reference image of the target is updated with an image corrupted by clutter, this can cause the system to walk-off and lose track of the target-object. The novel solution presented is based on research into modelling biological vision systems. We developed a prototype system designed to track an object changing size and shape in the presence of obscuring clutter. The system was tested on both real and simulated infrared imagery of aircraft found to be robust in the presence of obscuring clutter.

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Section: Updating the Reference Imagementioning

confidence: 99%

Section: An Edge Enhanced Correlation Trackermentioning

confidence: 99%