Small dim object tracking using a multi objective particle swarm optimisation technique

Ahmadi, Kaveh; Salari, Ezzatollah

doi:10.1049/iet-ipr.2014.0927

Cited by 13 publications

(6 citation statements)

References 19 publications

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“…Separate computed tomography data are fit to these surfaces to locate the periodontal ligament and the fibular graft. 31 , 32 The resected area of the mandible includes the left segment bearing M 1–3 , which has a length of 40 mm. Components of the reconstruction, including the fibular graft, the metallic fixation plates, and screws, are all simulated in SolidWorks (Dassault Systèmes, Waltham, MA).…”

Section: Methodsmentioning

confidence: 99%

Metallic Fixation of Mandibular Segmental Defects: Graft Immobilization and Orofacial Functional Maintenance

Moghaddam

Jahadakbar

Amerinatanzi

et al. 2016

Plastic and Reconstructive Surgery - Global Open

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Background:The aim of this study is to investigate the behavior of the healthy mandible under maximum molar bite force to demonstrate the problems associated with the current standard of care procedures for mandibular segmental defect reconstruction (ie, use of Ti–6Al–4V hardware and either a single- or double-barrel fibular graft). With current Ti–6Al–4V mandibular reconstruction hardware, there is a significant stiffness mismatch among the hardware, graft, and the remaining host anatomy. How the distribution of mechanical forces through the mandible is altered after a segmental bone loss and reconstruction is incompletely understood.Methods:We studied a healthy adult mandible for stress, strain, and reaction force distribution during normal mastication. Stress distribution of this model was then used to study problems encountered after mandibular segmental defect reconstructive surgery. We model the use of both single- and double-barrel fibular grafts to repair the loss of the left M1–3 containing segment of the mandible. These simulations were done using 2 sets of plates with different thicknesses.Results:We found that the stiffness mismatching between the fixation hardware and the graft and host bone causes stress shielding of that bone and stress concentrations in the fixation hardware and screws. These effects are expected, especially during the bone healing period. However, long term, this abnormal stress–strain distribution may lead to either the hardware’s failure due to stress concentration or graft failure due to bone resorption as a result of stress shielding. We found that the stress–strain distribution is more normal with a double-barrel fibular graft. Additionally, we found that thinner fixation plates can reduce stress shielding.Conclusion:The proposed model can be used to evaluate the performance and optimization of the fixation device.

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Section: Methodsmentioning

confidence: 99%

Metallic Fixation of Mandibular Segmental Defects: Graft Immobilization and Orofacial Functional Maintenance

Moghaddam

Jahadakbar

Amerinatanzi

et al. 2016

Plastic and Reconstructive Surgery - Global Open

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“…Many scholars try to solve this problem by other means, such as hierarchical tracking system and correlation diagram. 26,27 Peteris constructed an off-line multi-hypothesis tracker based on directed graph architecture, and used Algorithm-X to solve the optimal association search problem, 28 which improved the tracking robustness.…”

Section: Probability-based Algorithmmentioning

confidence: 99%

Research on data association and detection algorithm in point target tracking

He,

Li,

Liu

2023

AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; And Biomedical Optics

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“…For instance, the method in [8], [9] integrates both spatial and frequency domain features in order to localize the targets more accurately. Alternatively, the method in [10] tends to enhance the robustness of a tracker by strengthening the feature representations (e.g., target attributes) for the small targets. Recently, Rozumnyi et al [11] have proposed to deal with fast moving and motion blur problems of the objects, but the performance is unsatisfactory due to low resolution and complex background clutters.…”

Section: Introductionmentioning

confidence: 99%

Aggregation Signature for Small Object Tracking

Liu

Ding

Yang

et al. 2020

IEEE Trans. on Image Process.

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Small object tracking becomes an increasingly important task, which however has been largely unexplored in computer vision. The great challenges stem from the facts that: 1) small objects show extreme vague and variable appearances, and 2) they tend to be lost easier as compared to normal-sized ones due to the shaking of lens. In this paper, we propose a novel aggregation signature suitable for small object tracking, especially aiming for the challenge of sudden and large drift. We make three-fold contributions in this work. First, technically, we propose a new descriptor, named aggregation signature, based on saliency, able to represent highly distinctive features for small objects. Second, theoretically, we prove that the proposed signature matches the foreground object more accurately with a high probability. Third, experimentally, the aggregation signature achieves a high performance on multiple datasets, outperforming the state-of-the-art methods by large margins. Moreover, we contribute with two newly collected benchmark datasets, i.e., small90 and small112, for visually small object tracking. The datasets will be available in https://github.com/bczhangbczhang/.

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Small dim object tracking using a multi objective particle swarm optimisation technique

Cited by 13 publications

References 19 publications

Metallic Fixation of Mandibular Segmental Defects: Graft Immobilization and Orofacial Functional Maintenance

Metallic Fixation of Mandibular Segmental Defects: Graft Immobilization and Orofacial Functional Maintenance

Research on data association and detection algorithm in point target tracking

Aggregation Signature for Small Object Tracking

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