Multilayer real-time video image stabilization

Windau, Jens; Itti, Laurent

doi:10.1109/iros.2011.6094738

Cited by 20 publications

(7 citation statements)

References 3 publications

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“…A data reuse algorithm was developed in 28 which provides an efficient hardware architecture for real time video stabilisation. Four independent layers were used to realize the aerial video stabilisation in 29 . FPGA based video stabilisation was proposed by Li 30 , where Kalman filter was used effectively.…”

Section: Related Workmentioning

confidence: 99%

Efficient Embedded Hardware Architecture for Stabilised Tracking Sighting System of Armoured Fighting Vehicles

Verma¹,

Ghosh²,

Marathe³

et al. 2019

Def. Sc. Jl.

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A line-of-sight stabilised sighting system, capable of target tracking and video stabilisation is a prime requirement of any armoured fighting tank vehicle for military surveillance and weapon firing. Typically, such sighting systems have three prime electro-optical sensors i.e. day camera for viewing in day conditions, thermal camera for night viewing and eye-safe laser range finder for obtaining the target range. For laser guided missile firing, additional laser target designator may be a part of sighting system. This sighting system provides necessary parameters for the fire control computer to compute ballistic offsets to fire conventional ammunition or fire missile. System demands simultaneous interactions with electro-optical sensors, servo sensors, actuators, multi-function display for man-machine interface, fire control computer, logic controller and other sub-systems of tank. Therefore, a complex embedded electronics hardware is needed to respond in real time for such system. An efficient electronics embedded hardware architecture is presented here for the development of this type of sighting system. This hardware has been developed around SHARC 21369 processor and FPGA. A performance evaluation scheme is also presented for this sighting system based on the developed hardware.

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Section: Related Workmentioning

confidence: 99%

Efficient Embedded Hardware Architecture for Stabilised Tracking Sighting System of Armoured Fighting Vehicles

Verma¹,

Ghosh²,

Marathe³

et al. 2019

Def. Sc. Jl.

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“…1a. Figure 1b shows the methods of image stabilization suggested by Windau and Itti [14] in the frequency-amplitude domain. It can be observed from the Fig.…”

Section: Introductionmentioning

confidence: 99%

“…The configuration of the isolation system is similar to that of a Stewart platform. The compact structure and the modular nature of the proposed isolation system make it pertinent to wide range of drones and not just specific to (a) Vibration sources [14] (b) Stabilization methods [14] Fig. 1 Frequency-amplitude coverage-a forces in UAV, b suggested stabilization method a particular drone selected for the present study.…”

Section: Introductionmentioning

confidence: 99%

Active Vibration Isolation System for Drone Cameras

Verma

Collette

2020

Lecture Notes in Mechanical Engineering

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Drones are small unmanned aerial vehicles, often equipped with imaging system, which can be controlled remotely. During the drone flight, the camera is subjected to vibrations which hamper the quality of the captured images/videos. The high-frequency vibrations from the drone are transmitted to the camera. Conventionally, passive rubber mounts are used to isolate the camera from the drone vibrations. The passive mounts are able provide reduction in response near the resonance. However, this comes at the cost of amplification at the higher frequencies. This paper proposes an active vibration isolation system which exhibits improved performance at the higher frequencies compared to the conventional system. The system consists of introducing an intermediate active system between the drone and the conventional system (i.e., camera with passive rubber mounts). Experiments are carried out to characterize the drone vibrations are being transmitted to the camera. A test bench is developed to study the effect of these vibrations on the quality of the images captured. The quality of images captured is expressed in terms of pixel-to-signal noise ratio (PSNR). The transmissibility of the camera with passive rubber mounts is also evaluated experimentally. Three different isolation systems are proposed based on the degrees of freedom that needs to be controlled. Controller architecture for the isolation systems is designed and evaluated numerically. The response of the camera with passive isolation, when integrated with proposed isolation system, is found to reduce at high frequency without compromising the reduction in response at lower frequencies.

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“…A gimbal smooths the angular movements of a camera and provides advantages for acquiring better images; this subject and the importance of using and testing gimbals on UAVs is discussed by various authors [4,5]. Additionally, a gimbal dampens vibrations, which is significantly beneficial for real time image stabilization applications [6]. Apart from smoothing angular movements and dampening vibrations, a gimbal maintains a camera in a predefined position.…”

Section: Introductionmentioning

confidence: 99%

Gimbal Influence on the Stability of Exterior Orientation Parameters of UAV Acquired Images

Gašparović

Jurjević

2017

Sensors

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Abstract:In this paper, results from the analysis of the gimbal impact on the determination of the camera exterior orientation parameters of an Unmanned Aerial Vehicle (UAV) are presented and interpreted. Additionally, a new approach and methodology for testing the influence of gimbals on the exterior orientation parameters of UAV acquired images is presented. The main motive of this study is to examine the possibility of obtaining better geometry and favorable spatial bundles of rays of images in UAV photogrammetric surveying. The subject is a 3-axis brushless gimbal based on a controller board (Storm32). Only two gimbal axes are taken into consideration: roll and pitch axes. Testing was done in a flight simulation, and in indoor and outdoor flight mode, to analyze the Inertial Measurement Unit (IMU) and photogrammetric data. Within these tests the change of the exterior orientation parameters without the use of a gimbal is determined, as well as the potential accuracy of the stabilization with the use of a gimbal. The results show that using a gimbal has huge potential. Significantly, smaller discrepancies between data are noticed when a gimbal is used in flight simulation mode, even four times smaller than in other test modes. In this test the potential accuracy of a low budget gimbal for application in real conditions is determined.

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Multilayer real-time video image stabilization

Cited by 20 publications

References 3 publications

Efficient Embedded Hardware Architecture for Stabilised Tracking Sighting System of Armoured Fighting Vehicles

Efficient Embedded Hardware Architecture for Stabilised Tracking Sighting System of Armoured Fighting Vehicles

Active Vibration Isolation System for Drone Cameras

Gimbal Influence on the Stability of Exterior Orientation Parameters of UAV Acquired Images

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