Robust template tracking with drift correction

Schreiber, David

doi:10.1016/j.patrec.2007.03.007

Cited by 41 publications

(48 citation statements)

References 11 publications

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“…Hence, lighting and other gradual changes are represented by the technique. Schreiber 14 provides an extension to Matthews' work. The next section presents the experimental results and discussion.…”

Section: Appearance Modelmentioning

confidence: 99%

An optical tracker for the maritime environment

2011

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Optical (visual) tracking is an important research area in computer vision with a wide range of useful and critical applications in defence and industry. The tracking of targets that pose a threat or potential threat to a country's assets and resources is a critical component in defence and security. In order to complement radar sensing applications, an optical tracker provides additional functions such as target detection, target identification and intent detection at the visual level. A tracker for the maritime environment is an optical system that performs the automatic tracking of an above water target. Ideally, a track of the target is required for as long as is possible. Some examples of targets include boats, yachts, ships, jet-skis and aircraft. A number of factors mitigate the performance of such a system -change in target appearance, target occlusions, platform vibration and scintillation in the atmosphere are some common examples. We present the implementation of a firstgeneration system that is robust to platform vibration, target appearance changes and short-term occlusions. The optical tracker is developed using a particle filter and an appearance model that is updated online. The system achieves real-time tracking through the use of non-specialized computer hardware. Promising results are presented for a number of real-world videos captured during field trials.

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Section: Appearance Modelmentioning

confidence: 99%

An optical tracker for the maritime environment

2011

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“…These robust tracking algorithms can be regarded as a weighted least square process, such that occluded regions, background pixels and regions where brightness has changed would be considered as outliers and would be suppressed (Schreiber, 2007). However, these algorithms require a trade-off between efficiency and accuracy.…”

Section: Introductionmentioning

confidence: 99%

A robust template tracking algorithm with weighted active drift correction

Fan

Zhu

et al. 2011

Pattern Recognition Letters

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“…In case the difference between the two templates is persistent over a number of frames, the drift builds up just as with the case of the naive strategy. A recent work [13] proposed a robust drift-correcting template matching method. It adapts the inverse compositional algorithm [14] by adding robust weights to the least square solution and the Hessian matrix; the adapted inverse compositional algorithm is used to track the current frame first with the current template and then with the first template.…”

Section: Introductionmentioning

confidence: 99%

“…A shortcoming of the method is that it uses a single transformation model (e.g., a rigid transformation model for computation efficiency) to describe the template deformations through the tracking, which is generally insufficient as the template might undergo complex or non-rigid deformations. Also, the adapted inverse compositional algorithm method is 40% slower on average than the original inverse compositional algorithm [13].…”

Section: Introductionmentioning

confidence: 99%