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Cheng C.,Riverbed Technology | Koschan A.,University of Tennessee at Knoxville | Chen C.-H.,Old Dominion University | Page D.L.,Third Dimension Technologies | Abidi M.A.,University of Tennessee at Knoxville
IEEE Transactions on Image Processing | Year: 2012

In this paper, we propose a novel outdoor scene image segmentation algorithm based on background recognition and perceptual organization. We recognize the background objects such as the sky, the ground, and vegetation based on the color and texture information. For the structurally challenging objects, which usually consist of multiple constituent parts, we developed a perceptual organization model that can capture the nonaccidental structural relationships among the constituent parts of the structured objects and, hence, group them together accordingly without depending on a priori knowledge of the specific objects. Our experimental results show that our proposed method outperformed two state-of-the-art image segmentation approaches on two challenging outdoor databases (Gould data set and Berkeley segmentation data set) and achieved accurate segmentation quality on various outdoor natural scene environments. © 2011 IEEE. Source


Yao Y.,General Electric | Chen C.-H.,University of Tennessee at Knoxville | Abidi B.,General Electric | Page D.,Third Dimension Technologies | And 2 more authors.
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics | Year: 2010

Most existing camera placement algorithms focus on coverage and/or visibility analysis, which ensures that the object of interest is visible in the camera's field of view (FOV). However, visibility, which is a fundamental requirement of object tracking, is insufficient for automated persistent surveillance. In such applications, a continuous consistently labeled trajectory of the same object should be maintained across different camera views. Therefore, a sufficient uniform overlap between the cameras' FOVs should be secured so that camera handoff can successfully and automatically be executed before the object of interest becomes untraceable or unidentifiable. In this paper, we propose sensor-planning methods that improve existing algorithms by adding handoff rate analysis. Observation measures are designed for various types of cameras so that the proposed sensor-planning algorithm is general and applicable to scenarios with different types of cameras. The proposed sensor-planning algorithm preserves necessary uniform overlapped FOVs between adjacent cameras for an optimal balance between coverage and handoff success rate. In addition, special considerations such as resolution and frontal-view requirements are addressed using two approaches: 1) direct constraint and 2) adaptive weights. The resulting camera placement is compared with a reference algorithm published by Erdem and Sclaroff. Significantly improved handoff success rates and frontal-view percentages are illustrated via experiments using indoor and outdoor floor plans of various scales. © 2009 IEEE. Source


Patent
Third Dimension Technologies | Date: 2014-06-16

A packaging system and method for securing a product within a shipping container includes providing a shipping container appropriately sized for the product, attaching at least a first shock absorption member to the shipping container for serving as a locator for the product and for positioning the product on the shipping container. Attaching at least a second shock absorption member to the shipping container for, together with the at least a first shock absorption member, securing the product on the shipping container. The shipping container is closed about the product, which is itself suspended by the at least a first shock absorption member and the at least a second shock absorption member.


Patent
Third Dimension Technologies | Date: 2014-06-16

A packaging system and method for securing a product within a shipping container includes providing a shipping container appropriately sized for the product, attaching at least a first shock absorption member to the shipping container for serving as a locator for the product and for positioning the product on the shipping container. Attaching at least a second shock absorption member to the shipping container for, together with the at least a first shock absorption member, securing the product on the shipping container. The shipping container is closed about the product, which is itself suspended by the at least a first shock absorption member and the at least a second shock absorption member.


Grant
Agency: Department of Energy | Branch: | Program: SBIR | Phase: Phase I | Award Amount: 99.99K | Year: 2007

Magnetic Fusion Energy holds out the hope of supplying clean energy to the world and eliminating the causes of global warming. While research to date has shown high probability that an ignited magnetic fusion device can be built (e.g., the ITER Project), present research is focused on making fusion reactors more attractive and usable devices. Improving confinement and fueling in magnetic fusion devices can significantly improve the attractiveness of reactors by making them smaller, and easier to ignite and maintain. To this end, a digital holographic imaging device ¿ which provides three dimensional (3D) density, particle transport, and fueling data, at high speed and high spatial resolution ¿ would make it possible to study and understand both transport and fueling with greatly increased resolution. Therefore, this project will develop a digital holographic camera system (320x256 pixels or 160x128 pixels, programmable) that uses a pulsed CO2 laser light source. The camera will provide views with 82,000 or 20,000 separate chordal measurements of the plasma under study, at frame rates of 420 or 1,300 frames per second (or even higher frame rates at lower spatial resolutions). This approach will provide differential, implicitly 3D particle transport measurements by providing the time evolution of fine-grained plasma density profiles at spatial resolutions never previously obtained. Phase I will fabricate a low-cost infrared (CO2 laser) demo system with a low-cost (low speed) digital infrared camera. The camera will demonstrate feasibility at infrared (CO2) wavelengths. During Phase II, a full CO2 laser digital holography system will be developed for installation on the NCSX stellarator fusion physics research device. Commercial Applications and other Benefits as described by the awardee: An infrared digital holography system for fusion energy plasma diagnostics should lead to improved magnetic fusion energy generation. Additionally, the development is expected to result in the commercialization of unique measurement systems in a number of electronics and manufacturing industries. For example, the $3B semiconductor diagnostic equipment market needs a capability for high-volume, cost-sensitive micron-scale measurements, which potentially could be addressed by digital holography operating in the infrared. Also, applications for infrared digital holography exist in the $50B flat panel display and $5B micro-electro-mechanical structures (MEMS) industries.

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