Stabilization of panoramic videos from mobile multi-camera platforms

被引:16
作者
Hamza, Ameer [1 ]
Hafiz, Rehan [1 ]
Khan, Muhammad M. [1 ]
Cho, Yongju [2 ]
Cha, Jihun [2 ]
机构
[1] NUST, SEECS, VISpro Lab, Islamabad, Pakistan
[2] Elect & Telecommun Res Inst, Taejon, South Korea
关键词
Panoramic Videos; Video Stabilization; Video Stitching; Mobile multi-camera platforms; DIGITAL IMAGE STABILIZATION;
D O I
10.1016/j.imavis.2015.02.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Wide field of view panoramic videos have recently become popular due to the availability of high resolution displays. These panoramic videos are generated by stitching video frames captured from a panoramic video acquisition system, typically comprising of multiple video cameras arranged on a static or mobile platform. A mobile panoramic video acquisition system may suffer from global mechanical vibrations as well as independent inter-camera vibrations resulting in a jittery panoramic video. While existing stabilization schemes generally tackle single-camera vibrations, they do not account for these inter-camera vibrations. In this paper, we propose a video stabilization technique for multi-camera panoramic videos under the consideration that independent jitter may be exhibited by content of each camera. The proposed method comprises of three steps; the first step removes the global jitter in the video by estimating collective motion and subsequently removing the high frequency component from it. The second step removes the independent i.e. local jitter of each camera by estimating motion of each camera content separately. Pixels that are located in the overlapping regions of panoramic video are contributed by neighboring cameras, therefore, the estimated camera motion for these pixels is weighted using the blend masks generated by the stitching process. The final step applies local geometric warping to the stitched frames and removes any residual jitter induced due to parallax. Experimental results prove that proposed scheme performs better than existing panoramic stabilization schemes. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:20 / 30
页数:11
相关论文
共 36 条
  • [1] [Anonymous], P 9 ACM INT C MULT 2
  • [2] [Anonymous], 1999, SUBJ VID QUAL ASS ME
  • [3] [Anonymous], C MACH VIS APPL 2011
  • [4] [Anonymous], COMP VIS PATT REC WO
  • [5] [Anonymous], INT C DIG IM COMP TE
  • [6] [Anonymous], 2004, Multiple view geometry in computer vision, DOI DOI 10.1017/CBO9780511811685
  • [7] A ROBUST VIDEO STABILIZATION SYSTEM BY ADAPTIVE MOTION VECTORS FILTERING
    Battiato, S.
    Puglisi, G.
    Bruna, A. R.
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4, 2008, : 373 - +
  • [8] SIFT features tracking for video stabilization
    Battiato, Sebastiano
    Gallo, Giovanni
    Puglisi, Giovanni
    Scellato, Salvatore
    [J]. 14TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS, 2007, : 825 - +
  • [9] Automatic panoramic image stitching using invariant features
    Brown, Matthew
    Lowe, David G.
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2007, 74 (01) : 59 - 73
  • [10] Buehler C, 2001, PROC CVPR IEEE, P609