Video Stabilization for Camera Shoot in Mobile Devices via Inertial-Visual State Tracking

Han, Fei; Xie, Lihua; Yin, Yafeng; Zhang, Hao; Chen, Guihai; Lu, Sanglu

doi:10.1109/tmc.2019.2961313

Cited by 6 publications

(1 citation statement)

References 27 publications

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“…The algorithm used can foil the amount of small motion, rolling shutter distortion as well as smooth out large motion, thus enabling videos to be taken b y mobile devices. A variety of methods can be applied to stabilize the images and videos taken [9,6]. Sensors such as gyroscopes [13] and an inertial measurement unit (IMU) are used for hardware stabilization [15].…”

Section: Introductionmentioning

confidence: 99%

Kinematics of a Platform Stabilization using 3-PRS Parallel Manipulator

Udomsap

Chinchouryrang

Liampipat

et al. 2022

Preprint

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In this paper, a 3-PRS (prismatic, revolute, and spherical) parallel manipulator for platform stabilization is designed. The main purpose of this device is to stabilize visual equipment, which is placed on top of a car to inspect electrical transmission cables as part of routine maintenance. Due to the bulky and heavy infrared cameras used during inspections, a stabilizer platform has been designed to handle the weight of camera equipment up to 10 kg. This device consists of two major mechanisms. The first mechanism is able to adjust the angle of the camera. Thus, the user can focus the camera along the electric transmission lines. The second mechanism is for stabilization. The mechanism serves to stabilize the orientation and position of the camera in roll, pitch, and heave directions. To test the performance of the stabilization mechanism, the device is fed with the known value of the angle as regards input. As such, the device is trying to compensate for the change in angle. Results show that errors between input angles and compensated angles are in the range of 0.4-3%. Errors are seen to be within an acceptable range. It is significant that the resultant errors do not affect the orientation of the camera.

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Section: Introductionmentioning

confidence: 99%