STATISTICAL MODEL-BASED CHANGE DETECTION IN MOVING VIDEO

被引：197

作者：

AACH, T

KAUP, A

MESTER, R

机构：

[1] Institute for Communication Engineering, Aachen University of Technology (RWTH)

[2] Robert Bosch GmbH, Dept. C, FOH

来源：

SIGNAL PROCESSING | 1993年 / 31卷 / 02期

关键词：

IMAGE ANALYSIS; IMAGE CODING; CHANGE DETECTION; SIGNIFICANCE TESTS; MARKOV RANDOM FIELDS; DETERMINISTIC RELAXATION; REGULARIZATION;

D O I：

10.1016/0165-1684(93)90063-G

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A major issue with change detection in video sequences is to guarantee robust detection results in the presence of noise. In this contribution, we first compare different test statistics in this respect. The distributions of these statistics for the null hypothesis are given, so that significance tests can be carried out. An objective comparison between the different statistics can thus be based on identical false alarm rates. However, it will also be pointed out that the global thresholding methods resulting from the significance approach exhibit certain weaknesses. Their shortcomings can be overcome by the Markov random field based refining method derived in the second part of this paper. This method serves three purposes: it accurately locates boundaries between changed and unchanged areas, it brings to bear a regularizing effect on these boundaries in order to smooth them, and it eliminates small regions if the original data permits this.

引用

页码：165 / 180

页数：16

共 35 条

[1]

Aach, Kaup, Partitioning of stereoscopic sequences by evaluation of stereo disparity and temporal change detection, Proc. Picture Coding Symposium 91, pp. 443-446, (1991)

[2]

Besag, On the statistical analysis of dirty pictures, J. Royal Statist. Soc. B., 48, 3, pp. 259-302, (1986)

[3]

Besag, Spatial interaction and the statistical analysis of lattice systems, J. Royal Statist. Soc. B, 36, 2, pp. 192-236, (1974)

[4]

Bierling, Thoma, Motion compensating field interpolation using a hierarchically structured displacement estimator, Signal Processing, 11, 4, pp. 387-404, (1986)

[5]

Bouthemy, Lalande, Motion detection in an image sequence using Gibbs distributions, Proc. Internat. Conf. Acoust. Speech Signal Process '89, pp. 1651-1654, (1989)

[6]

Bouthemy, Lalande, Detection and tracking of moving objects based on a statistical regularization method in space and time, Proc. ECCV'90, pp. 307-311, (1990)

[7]

Cafforio, Rocca, Methods for measuring small displacements of television images, IEEE Transactions on Information Theory, 22, 5, pp. 573-579, (1976)

[8]

Chen, Reed, A detection algorithm for optical targets in clutter, IEEE Trans. Aerospace Electron. Systems, 23, 1, pp. 46-59, (1987)

[9]

Connor, Limb, Properties of frame-difference signals generated by moving images, IEEE Trans. Comm., 22, 10, pp. 1564-1575, (1974)

[10]

Connor, Haskell, Mounts, A frame-to-frame picturephone<sup>®</sup> coder for signals containing differential quantizing noise, Bell System Tech. J., 52, 1, pp. 35-51, (1973)

← 1 2 3 4 →