Multi-Mask Based Stabilization of Turbulence Degraded Videos Containing Moving Objects
| Autor: | Kalyan Kumar Halder, Bhabesh Ray |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Pixel
Turbulence Computer science business.industry Optical flow 02 engineering and technology 01 natural sciences Object detection 010309 optics Image stabilization Distortion 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business |
| Zdroj: | 2019 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON). |
| DOI: | 10.1109/spicscon48833.2019.9065089 |
| Popis: | Stabilizing videos and detecting moving objects are important tasks in many computer vision applications, though it becomes challenging because of the presence of atmospheric turbulence that causes random pixel shifting and blurring of the videos. This paper proposes an improved method for correcting geometrical distortions of videos degraded by atmospheric turbulence while keeping moving objects unaltered. In this method, three different techniques are used to generate three different masks, which are then combined together to generate a more accurate mask. This mask is employed to properly detect the moving objects and finally fusing with the background a stabilized video output is obtained. The performance of this method is tested by applying it on different real-world datasets. A comparison with an existing method shows that the proposed method gives better detection of moving objects and improved stabilization of the degraded videos. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|