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[IEEE 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) - Sinaia, Romania (2018.10.10-2018.10.12)] 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) - Computer Vision Techniques for Collision Analysis. A Study Case
摘要： Following the increased use of mobile platforms, the collision between the mobile platform and elements in its operating environment has become an issue of growing importance. Even if there are extensive researches about the ways to avoid those collisions (sensors, control strategies), in a real-life scenario the dynamics of all the other environmental elements leads to situations when the collision becomes unavoidable. In this paper we proposed, developed and evaluated a test stand for collision analysis, for a previously published theoretical model for planar link in contact with a granular material. The knowledge acquired during this work can be successfully used for impact tests for mobile platforms.
关键词： computer vision techniques,collision analysis,mobile platforms
更新于2025-09-09 09:28:46
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Marker-Free Tracking for Motion Artifact Compensation and Deformation Measurements in Optical Mapping Videos of Contracting Hearts
摘要： Optical mapping is a high-resolution fluorescence imaging technique, which provides highly detailed visualizations of the electrophysiological wave phenomena, which trigger the beating of the heart. Recent advancements in optical mapping have demonstrated that the technique can now be performed with moving and contracting hearts and that motion and motion artifacts, once a major limitation, can now be overcome by numerically tracking and stabilizing the heart’s motion. As a result, the optical measurement of electrical activity can be obtained from the moving heart surface in a co-moving frame of reference and motion artifacts can be reduced substantially. The aim of this study is to assess and validate the performance of a 2D marker-free motion tracking algorithm, which tracks motion and non-rigid deformations in video images. Because the tracking algorithm does not require markers to be attached to the tissue, it is necessary to verify that it accurately tracks the displacements of the cardiac tissue surface, which not only contracts and deforms, but also fluoresces and exhibits spatio-temporal physiology-related intensity changes. We used computer simulations to generate synthetic optical mapping videos, which show the contracting and fluorescing ventricular heart surface. The synthetic data reproduces experimental data as closely as possible and shows electrical waves propagating across the deforming tissue surface, as seen during voltage-sensitive imaging. We then tested the motion tracking and motion-stabilization algorithm on the synthetic as well as on experimental data. The motion tracking and motion-stabilization algorithm decreases motion artifacts approximately by 80% and achieves sub-pixel precision when tracking motion of 1–10 pixels (in a video image with 100 by 100 pixels), effectively inhibiting motion such that little residual motion remains after tracking and motion-stabilization. To demonstrate the performance of the algorithm, we present optical maps with a substantial reduction in motion artifacts showing action potential waves propagating across the moving and strongly deforming ventricular heart surface. The tracking algorithm reliably tracks motion if the tissue surface is illuminated homogeneously and shows sufficient contrast or texture which can be tracked or if the contrast is artificially or numerically enhanced. In this study, we also show how a reduction in dissociation-related motion artifacts can be quantified and linked to tracking precision. Our results can be used to advance optical mapping techniques, enabling them to image contracting hearts, with the ultimate goal of studying the mutual coupling of electrical and mechanical phenomena in healthy and diseased hearts.
关键词： computer vision,ventricular fibrillation,motion tracking,cardiac arrhythmias,optical mapping,atrial fibrillation,fluorescence imaging,heart rhythm disorders
更新于2025-09-09 09:28:46
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In-water visual ship hull inspection using a hover-capable underwater vehicle with stereo vision
摘要： Underwater visual inspection is an important task for checking the structural integrity and biofouling of the ship hull surface to improve the operational safety and efficiency of ships and floating vessels. This paper describes the development of an autonomous in‐water visual inspection system and its application to visual hull inspection of a full‐scale ship. The developed system includes a hardware vehicle platform and software algorithms for autonomous operation of the vehicle. The algorithms for vehicle autonomy consist of the guidance, navigation, and control algorithms for real‐time and onboard operation of the vehicle around the hull surface. The environmental perception of the developed system is mainly based on optical camera images, and various computer vision and optimization algorithms are used for vision‐based navigation and visual mapping. In particular, a stereo camera is installed on the underwater vehicle to estimate instantaneous surface normal vectors, which enables high‐precision navigation and robust visual mapping, not only on flat areas but also over moderately curved hull surface areas. The development process of the vehicle platform and the implemented algorithms are described. The results of the field experiment with a full‐scale ship in a real sea environment are presented to demonstrate the feasibility and practical performance of the developed system.
关键词： computer vision,underwater robotics,autonomous underwater vehicles,underwater navigation,visual inspection
更新于2025-09-09 09:28:46
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[Lecture Notes in Computer Science] Combinatorial Image Analysis Volume 11255 (19th International Workshop, IWCIA 2018, Porto, Portugal, November 22–24, 2018, Proceedings) || Improvement of Measurement Accuracy of Optical 3D Scanners by Discrete Systematic Error Estimation
摘要： A new methodology is introduced which enables the improvement of measurement accuracy of optical 3D scanners. This improvement is based on geometric compensation of the systematic measurement error over the measurement volume. Possible sources for systematic measurement errors are introduced and discussed. Estimation of the systematic error is performed by determination of length measurement error of a ballbar in different positions in the measurement volume. Description of the systematic error may be done using polynomials or sampling points in an equidistant volumetric grid. Simulations as well as experimental measurements using real data were performed in order to evaluate the new methodology. The results show that a reduction of the systematic error to about half of the original error is possible. The method is discussed, and potential improvements are given as prospective future work.
关键词： Computer vision,Image analysis,3D reconstruction,Optical 3D scanner
更新于2025-09-09 09:28:46
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Virtualot — A Framework Enabling Real-Time Coordinate Transformation & Occlusion Sensitive Tracking Using UAS Products, Deep Learning Object Detection & Traditional Object Tracking Techniques
摘要： In this work we explore a combination of methods that allow us to analyze and study hyper-local environmental phenomena. Developing a unique application of monoplotting enables visualization of the results of deep-learning object detection and traditional object tracking processes applied to a perspective view of a parking lot on aerial imagery in real-time. Additionally, we propose a general algorithm to extract some scene understanding by inverting the monoplotting process and applying it to digital elevation models. This allows us to derive estimations of perspective image areas causing object occlusions. Connecting the real world and perspective spaces, we can create a resilient object tracking environment using both coordinate spaces to adapt tracking methods when objects encounter occlusions. We submit that this novel composite of techniques opens avenues for more intelligent, robust object tracking and detailed environment analysis using GIS in complex spatial domains provided video footage and UAS products.
关键词： computer vision,homography,object tracking,object detection,photogrammetry
更新于2025-09-09 09:28:46
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[IEEE 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Honolulu, HI, USA (2018.7.18-2018.7.21)] 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Tracking Gene Expression via Light Sheet Microscopy and Computer Vision in Living Organisms
摘要： Automated tracking of spatiotemporal gene expression using in vivo microscopy images have given great insight into understanding developmental processes in multicellular organisms. Many existing analysis tools rely on the fluorescent tagging of cell wall or cell nuclei localized proteins to assess position, orientation, and overall shape of an organism; information necessary for determining locations of gene expression activity. Particularly in plants, organism lines that have fluorescent tags can take months to develop, which can be time consuming and costly. We propose an automated solution for analyzing spatial characteristics of gene expression without the necessity of fluorescent tagged cell walls or cell nuclei. Our solution indicates, segments, and tracks gene expression using a fluorescent imaging channel of a light sheet microscope while determining gene expression location within an organism from a Brightfield (non-fluorescent) imaging channel. We use the images obtained from the Arabidopsis thaliana root as a proof of concept for our solution by studying the effects of heat shock stress on CYCLIN B1 protein production.
关键词： computer vision,CYCLIN B1,light sheet microscopy,gene expression,Arabidopsis thaliana
更新于2025-09-09 09:28:46
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[ACM Press the 2018 ACM Symposium - Warsaw, Poland (2018.06.14-2018.06.17)] Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications - ETRA '18 - Automatic mapping of gaze position coordinates of eye-tracking glasses video on a common static reference image
摘要： This paper describes a method for automatic semantic gaze mapping from video obtained by eye-tracking glasses to a common reference image. Image feature detection and description algorithms are utilized to find the position of subsequent video frames and map corresponding gaze coordinates on a common reference image. This process allows aggregate experiment results for further experiment analysis and provides an alternative for manual semantic gaze mapping methods.
关键词： feature matching,computer vision,eye tracking,semantic gaze mapping
更新于2025-09-09 09:28:46
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Implementing a Stereo Image Correction Method for 3D Surgery Microscopes
摘要： Recently 3D scenes are used in various industrial fields such as medical applications, computer games, surface examinations, biology and others. 3D optical microscopes can show extremely precise details in 3D. To reconstruct the 3D images of an optical microscope, two cameras are mounted on the optical microscope. Incoming images through an object lens of an optical microscope are projected on sensors of mounted cameras by using refraction mirrors. Two cameras capture the left and right images to reconstruct the final 3D images. In this paper, we correct the 3D reconstruction errors with the SURF algorithm. We also design a hardware system to correct wrong mirror positions using servo motors. In addition, we propose the surgical system with HMD and wireless communications. This system would be helpful for doctors due to make doctors comfortable and it can be used to educate surgery procedures.
关键词： Stereo Image,Optical Microscope,SURF,Medical Device,Computer Vision
更新于2025-09-09 09:28:46
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[Institution of Engineering and Technology 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016) - Madrid, Spain (23-25 Nov. 2016)] 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016) - Person reidentification using omnidirectional cameras
摘要： This study proposes a bodyprint extraction method for people re-identi?cation. Bodyprints are obtained using omnidirectional cameras, knowing the camera model of the ?sheye lens of the camera. These cameras are widely used in surveillance applications since one camera can cover a large area. The proposed method is completely automatic. The results on a database of 31 samples belonging to 5 different persons show a high detection rate of an individual in different locations of the scenario, with different illumination and orientation. Potential applications include tracking suspicious people with networks of non-overlapping cameras or detecting lost people or children in malls or public spaces.
关键词： computer vision,bodyprints,?sheye lenses,omnidirectional,cameras,re-identi?cation
更新于2025-09-09 09:28:46
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[Institution of Engineering and Technology 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016) - Madrid, Spain (23-25 Nov. 2016)] 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016) - Attack Detection in an Autonomous Entrance System using Optical Flow
摘要： Unstaffed access control portals are becoming more common in high security areas. Existing systems require expensive hardware, or are sensitive to changing environmental conditions. We present a single camera system for a mantrap which is able to verify that only one individual is in the designated transit area. Our novel approach combines optical flow and machine-learning classification. A database was created that consists of images of attempted attacks and regular verification. The results show that our approach provides competitive results and outperforms detection rates in several attack scenarios.
关键词： Scene Analysis,Isolation Detection,Computer Vision,Optical Flow,People Counting
更新于2025-09-09 09:28:46