High precision target tracking with a compound-eye image sensor

Krishnasamy, Rubakumar; Wong, Winnifred; Shen, Edward; Pepic, S.; Hornsey, Richard; Thomas, Paul J.

doi:10.1109/ccece.2004.1347710

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…Highly-precise image points mapped from world-plane locations are estimated with ±0.2 pixels. The corresponding grid of images is used to determine the centroid position in the image for each object [144].…”

Section: Egomotion Estimationmentioning

confidence: 99%

Review of state-of-the-art artificial compound eye imaging systems

et al. 2019

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The natural compound eye has received much attention in recent years due to its remarkable properties, such as its large field of view (FOV), compact structure, and high sensitivity to moving objects. Many studies have been devoted to mimicking the imaging system of the natural compound eye. The paper gives a review of state-of-the-art artificial compound eye imaging systems. Firstly, we introduce the imaging principle of three types of natural compound eye. Then, we divide current artificial compound eye imaging systems into four categories according to the difference of structural composition. Readers can easily grasp methods to build an artificial compound eye imaging system from the perspective of structural composition. Moreover, we compare the imaging performance of state-of-the-art artificial compound eye imaging systems, which provides a reference for readers to design system parameters of an artificial compound eye imaging system. Next, we present the applications of the artificial compound eye imaging system including imaging with a large FOV, imaging with high resolution, object distance detection, medical imaging, egomotion estimation, and navigation. Finally, an outlook of the artificial compound eye imaging system is highlighted.

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Section: Egomotion Estimationmentioning

confidence: 99%

Review of state-of-the-art artificial compound eye imaging systems

et al. 2019

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“…Compound eye vision system obtains original image information from different directions at the same time. Its unique structure significantly enlarges the field range and has paraxial optical path for each view angle, which decreases distortion [11][12][13]. Besides, the concept of lateral inhibition [14] among sub-eyes can be used in artificial bionic network to improve sensitivity.…”

Section: Introductionmentioning

confidence: 99%

A biologically-inspired embedded monitoring network system for moving target detection in panoramic view

Song

Zhang

2013

J Wireless Com Network

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An embedded monitoring network system is based on the visual principle of compound eye, which meets the acquirements in field angle, detecting efficiency, and structural complexity of panoramic monitoring network. Three fixed wide-angle cameras are adopted as sub-eyes, and a main camera is installed on a high-speed platform. The system ensures the continuity of tracking with high sensitivity and accuracy in a field of view (FOV) of 360 × 180°. In the non-overlapping FOV of the sub-eyes, we adopt Gaussian background difference model and morphological algorithm to detect moving targets. However, in the overlapping FOV, we use the strategy of lateral inhibition network which improves the continuity of detection and speed of response. The experimental results show that our system locates a target within 0.15 s after it starts moving in the non-overlapping field; when a target moves in the overlapping field, it takes 0.23 s to locate it. The system reduces the cost and complexity in traditional panoramic monitoring network and lessens the labor intensity in the field of monitoring.

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Artificial compound eye: a survey of the state-of-the-art

Jiang

Zhang

et al. 2016

Artif Intell Rev

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An artificial compound eye system is the bionic system of natural compound eyes with much wider field-of-view, better capacity to detect moving objects and higher sensitivity to light intensity than ordinary single-aperture eyes. In recent years, renewed attention has been paid to the artificial compound eyes, due to their better characteristics inheriting from insect compound eyes than ordinary optical imaging systems. This paper provides a comprehensive survey of the state-of-the-art work on artificial compound eyes. This review starts from natural compound eyes to artificial compound eyes including their system design, theoretical development and applications. The survey of artificial compound eyes is developed in terms of two main types: planar and curved artificial compound eyes. Finally, the most promising future research developments are highlighted.

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High precision target tracking with a compound-eye image sensor

Cited by 4 publications

References 12 publications

Review of state-of-the-art artificial compound eye imaging systems

Review of state-of-the-art artificial compound eye imaging systems

A biologically-inspired embedded monitoring network system for moving target detection in panoramic view

Artificial compound eye: a survey of the state-of-the-art

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