Thesis (Ph. D.)--University of Hawaii at Manoa, 2005. / Includes bibliographical references (leaves 125-129). / Also available by subscription via World Wide Web / xi, 129 leaves, bound ill. 29 cm

Thesis (Ph. D.)--University of Hawaii at Manoa, 2005. / Includes bibliographical references (leaves 125-129).

ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California / When developing a video compression system in black box for aircraft, it is necessary to consider the characteristic of the images and the surrounding environment. The images captured in and out of aircraft have excessive movement-related issues, which make the results difficult to analyze and interpret. Failure to remove the tremors in the video component inevitably leads to poor compression efficiency and degrades the video imaging performance in the airborne black box. Therefore, it is necessary to develop a Compression System which can stabilize the video-image and efficiently utilize high compression recording for aircraft without special hardware. Based on the current situation, we suggest a real-time electronic video stabilization algorithm for airborne recorder which recovers shaky images simply and efficiently to work beside a developed stabilization system based on the H.264 Encoder using DSP.

As computing power becomes more and more available, robotic systems are moving away from active sensors for environmental awareness and transitioning into passive vision sensors.  With the advent of teleoperation and real-time video tracking of dynamic environments, the need to stabilize video onboard mobile robots has become more prevalent. This thesis presents a digital stabilization method that incorporates inertial fusion with a Kalman filter.  The camera motion is derived visually by tracking SIFT features in the video feed and fitting them to an affine model.  The digital motion is fused with a 3 axis rotational motion measured by an inertial measurement unit (IMU) rigidly attached to the camera. The video is stabilized by digitally manipulating the image plane opposite of the unwanted motion. The result is the foundation of a robust video stabilizer comprised of both visual and inertial measurements.  The stabilizer is immune to dynamic scenes and requires less computation than current digital video stabilization methods. / Master of Science

ITC/USA 2008 Conference Proceedings / The Forty-Fourth Annual International Telemetering Conference and Technical Exhibition / October 27-30, 2008 / Town and Country Resort & Convention Center, San Diego, California / In this paper, we propose a highly precise and fast digital image stabilization technique based on the control grid interpolation. To obtain more stable video sequence than the one from other existing DIS techniques, the small instability should be removed in as small accuracy with sub-pixel. Experimental results show that the proposed digital image stabilizer gives considerable improvement in the sense of computational complexity and the performance of stabilizing compared to conventional DIS techniques.

Nesse trabalho foram utilizadas e analisadas diferentes técnicas computacionais para estabilização de imagens de videolaringoscopia, adquiridas por meio de videostroboscopia, a fim de remover os movimentos indesejados provenientes do operador da câmera e do paciente durante a gravação, de modo a melhorar sua qualidade. Com um vídeo estabilizado podemos obter uma quimografia, que é um exame que permite observar os padrões de abertura e fechamento das pregas vocais durante a fonação, com boa qualidade. As técnicas utilizadas na estabilização foram correlação espacial, correlação de fase e Optical Flow. / In this work, different computational techiniques were used and evaluated for image stabilization of videolaringoscopy scenes, so that the unwanted movements coming from cameraman and patient\'s moviments can be removed, thus improving their quality. After stabilizing the video, we can get a kymography, an examination which allows us to visualize the vibratory pattern of vocal fold, with a good quality. The techniques used were spatial correlation, phase correlation and Optical Flow.

When firing a handheld weapon, the shooter tries to aim at the point where he wants the bullet to hit. However, due to imperfections in the human body, this can be quite hard. The weapon moves relative to the target and the shooter has to use precise timing to fire the shot exactly when the weapon points to the intended target position. This can be very hard, especially when shooting at long range using a magnifying rifle scope. In this thesis, a solution to this problem using image analysis is described and tested. Using a digital video camera and software, the system helps the shooter to fire at the appropriate time. The system is designed to operate in real-time conditions on a PC. The tests carried out have shown that the solution is promising and helps to achieve better accuracy. However it needs to be optimized to run smoothly on a smaller scale embedded system. / Då en skytt avfyrar ett handhållet vapen försöker skytten sikta mot den punkt där han vill att kulan ska träffa. Eftersom den mänskliga kroppen inte är helt stabil kommer vapnet att röra sig runt denna punkt och skytten måste försöka avfyra skottet precis vid den tidpunkt då vapnet pekar mot rätt punkt. Detta är särskilt svårt vid stora avstånd, då små vinkelskillnader i vapnets pipa ger större utslag med ökande avstånd till målet.  I denna uppsats beskrivs och utvärderas ett system konstruerat för att minimera inverkan av de ofrivilliga rörelserna. Systemet använder sig av en videokamera monterad i siktet och en dator med mjukvara som utför analys och behandling av videoströmmen för att avgöra när vapnet bör avfyras. Tanken är att i ett färdigt system implementera algoritmen i ett portabelt inbyggt system som kan monteras i kikarsiktet tillsammans med kameran. Mjukvaran kan sedan styra avfyrningen elektroniskt efter att skytten gett sitt godkännande genom att lägga tryck på avtryckaren. Testen som genomförts visar att angreppssättet är lovande. Systemet fick i samtliga fall bättre resultat än då skyttarna avfyrade skott manuellt.

Title from PDF of title page (University of Missouri--Columbia, viewed on March 10, 2010). The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Thesis advisor: Dr. Guilherme DeSouza. Vita. Includes bibliographical references.

Nesse trabalho foram utilizadas e analisadas diferentes técnicas computacionais para estabilização de imagens de videolaringoscopia, adquiridas por meio de videostroboscopia, a fim de remover os movimentos indesejados provenientes do operador da câmera e do paciente durante a gravação, de modo a melhorar sua qualidade. Com um vídeo estabilizado podemos obter uma quimografia, que é um exame que permite observar os padrões de abertura e fechamento das pregas vocais durante a fonação, com boa qualidade. As técnicas utilizadas na estabilização foram correlação espacial, correlação de fase e Optical Flow. / In this work, different computational techiniques were used and evaluated for image stabilization of videolaringoscopy scenes, so that the unwanted movements coming from cameraman and patient\'s moviments can be removed, thus improving their quality. After stabilizing the video, we can get a kymography, an examination which allows us to visualize the vibratory pattern of vocal fold, with a good quality. The techniques used were spatial correlation, phase correlation and Optical Flow.

This thesis describes the development of a robotic platform for evaluation of gaze stabilization algorithms built for the Sensorimotor Systems Laboratory at the University of British Columbia. The primary focus of the work was to measure the performance of a biomimetic vestibulo-ocular reflex controller for gaze stabilization using cerebellar feedback. A flexible robotic system was designed and built in order to run reproducible test sequences at high speeds featuring three dimensional linear movement and rotation around the vertical axis. On top of the robot head a 1 DOF camera head can be independently controlled by a stabilization algorithm implemented in Simulink. Vestibular input is provided by a 3-axis accelerometer and a 3-axis gyroscope. The video feed from the camera head is fed into a workstation computer running a custom image processing program which evaluates both the absolute and relative movement of the images in the sequence. The absolute angles of tracked regions in the image are continuously returned, as well as the movement of the image sequence across the sensor in full 3 DOF camera rotation. Due to dynamic downsampling and noise suppression algorithms very good performance was reached, enabling retinal slip estimation at 720 degrees per second. Two different controllers were implemented, one adaptive open loop controller similar to Dean et al.’s work[12] and one reference implementation using closed loop control and optimal linear estimation of reference angles. A sequence of tests were run in order to evaluate the performance of the two algorithms. The adaptive controller was shown to offer superior performance, dramatically reducing the movement of the image for all test sequences, while also offering better performance as it was tuned over time.