ARM-Based Real-Time Video Stabilization Enhancement Algorithm

Authors

Xiaoquan Chen, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China;
Zhang Lei, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China;
Huang Hua, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China;

Abstract

Abstract: Considering the performance characteristic of ARM processor, an ARM-based real-time video stabilization enhancement algorithm was proposed that identified shakiness of video and implements motion smoothing in the space of geometric transformations. The algorithm identified the shakiness of video with the amplitudes’ change of translation and rotation. Then the optimal path could be obtained by linear interpolation on translational vector and rotational angle. Stable frames were generated by implementing motion compensation of translation and rotation transformations respectively. Because the algorithm used linear interpolation in the space of rigid transformations, it was much faster than the previous algorithms. Moreover, it could control cropping ratio in motion compensation and guarantee no extra distortion drawn into the warped frames. Experiments show that the algorithm can stabilize video based on ARM platform in real time and obtain good video stabilization as well.

Recommended Citation

Chen, Xiaoquan; Lei, Zhang; and Hua, Huang (2020) "ARM-Based Real-Time Video Stabilization Enhancement Algorithm," Journal of System Simulation: Vol. 28: Iss. 10, Article 19.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss10/19

First Page

2423

Revised Date

2016-07-12

DOI Link

https://doi.org/

Last Page

2430

CLC

TP391

Recommended Citation

Chen Xiaoquan, Zhang Lei, Huang Hua. ARM-Based Real-Time Video Stabilization Enhancement Algorithm[J]. Journal of System Simulation, 2016, 28(10): 2423-2430.