Fast motion estimation using spatio temporal filtering

被引:0
|
作者
Bruni, V. [1 ]
De Canditiis, D. [1 ]
Vitulano, D. [1 ]
机构
[1] CNR, Ist Applicaz Calcolo M Picone, I-00161 Rome, Italy
来源
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper a fast algorithm for motion estimation is presented. It models the temporal averaging of a group of frames as the spatial filtering of the reference one with a suitable Dirac comb function. This equality allows us to estimate a constant affine motion by comparing the phases of the FFT. Experimental results show that the proposed algorithm outperforms the available fast motion estimation techniques in terms of both quality and computational effort.
引用
收藏
页码:755 / 766
页数:12
相关论文
共 50 条
  • [1] Fast Motion Estimation using spatio-temporal correlations
    Yoon, Hyo Sun
    Yoo, Jae Myeong
    Dinh, Toan Nguyen
    Son, Hwa Jeong
    Park, Mi Seen
    Lee, Guee Sang
    ADVANCES IN ARTIFICIAL REALITY AND TELE-EXISTENCE, PROCEEDINGS, 2006, 4282 : 548 - +
  • [2] Fast motion vector estimation using multiresolution-spatio-temporal correlations
    Chalidabhongse, J
    Kuo, CCJ
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 1997, 7 (03) : 477 - 488
  • [3] A new spatio-temporal fast motion estimation algorithm
    Fotopoulos, V.
    Skodras, A. N.
    PROCEEDINGS OF THE 5TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS, 2007, : 487 - 491
  • [4] Motion estimation using spatio-temporal contextual information
    Namuduri, KR
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2004, 14 (08) : 1111 - 1115
  • [5] Fast half pixel motion estimation based on spatio-temporal correlations
    Yoon, H
    Lee, G
    Kim, S
    Choi, DJ
    NEURAL INFORMATION PROCESSING, 2004, 3316 : 732 - 737
  • [6] Fast motion estimation algorithm based on spatio-temporal correlation and direction of motion vectors
    Nisar, H.
    Choi, T-S.
    ELECTRONICS LETTERS, 2006, 42 (24) : 1384 - 1385
  • [7] Spatio-temporal photon density estimation using bilateral filtering
    Weber, M
    Milch, M
    Myszkowski, K
    Dmitriev, K
    Rokita, P
    Seidel, HP
    COMPUTER GRAPHICS INTERNATIONAL, PROCEEDINGS, 2004, : 120 - 127
  • [8] A spatio-temporal filtering approach to motion segmentation
    Chamorro-Martínez, J
    Fdez-Valdivia, J
    Martinez-Baena, J
    PATTERN RECOGNITION AND IMAGE ANALYSIS, PROCEEDINGS, 2003, 2652 : 193 - 203
  • [9] Content adaptive fast motion estimation based on spatio-temporal homogeneity analysis and motion classification
    Nisar, Humaira
    Malik, Aamir Saeed
    Choi, Tae-Sun
    PATTERN RECOGNITION LETTERS, 2012, 33 (01) : 52 - 61
  • [10] Spatio-temporal wiener filtering of image sequences using a parametric motion model
    Dekeyser, F
    Bouthemy, P
    Pérez, P
    2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS, 2000, : 208 - 211