|
|
|
| Research on Moving Objects Detection Using HOS |
| YUAN Jie, DU SiDan, GAO DunTang |
| Department of Electronic Science and Engineering, Nanjing University, Nanjing 210093 |
|
|
|
|
Abstract In this paper, static background image abstraction algorithms based on video techniques is proposed. It works on the intrinsic properties of the high order statistic value of the two dimension images. The static background image can be distilled through a number of continuous or uncontinuous video frames no matter whether it contains the moving objects or not. Since the static background image has been got, the difference operation between the later video frames and the abstracted static background image can perfectly locate the moving target. The comparison between the method mentioned in this paper and traditional difference algorithm shows the former has the advantages in noise resistance and selfadaptation. Experiments are provided to show the validation of our algorithm.
|
|
Received: 10 May 2004
|
|
|
|
|
|
[1] Cédras C, Shah M. Motion-Based Recognition: a Survey. Image and Vision Computing, 1995, 13(2): 129-155
[2] Barceló L, Binefa X. Bayesian Video Mosaicing with Moving Objects. International Journal of Pattern Recognition and Artificial Intelligence, 2002, 16(3): 341-348
[3] Shi K W, et al. Segmentation of the Foreground Containing Face in a Moving Image Sequence. Journal of Beijing University of Posts and Telecommunications, 2000, 23(1): 66-70 (in Chinese)
(施可为,等.含人脸的前景在活动图像序列中的分割.北京邮电大学学报, 2000, 23(1): 66-70)
[4] Yang J. The Implementation of Image Motion Segmentation with Mapping Parametric Models. Computer Engineering, 2001, 27(4): 174-176 (in Chinese)
(杨 杰. 采用映射参数模型实现图像运动分割. 计算机工程, 2001, 27(4): 174-176)
[5] Miura K I, Nagano T. A Computational Model for the Detection of Object Motion by Moving Observer Using Self-Motion Signals. Information Science, 2000, 123(1-2): 55-73
[6] Mch R, Wollborn M. A Noise Robust Method for 2D Shape Estimation of Moving Objects in Video Sequences Considering a Moving Camera. Signal Processing, 1998, 66(2): 203-217
[7] Kim M, et al. Moving Object Segmentation in Video Sequences by User Interaction and Automatic Object Tracking. Image and Vision Computing, 2001, 19(5): 245-260
[8] Kesrarat W, Sortrakul T. An Object Location Specifying Methodology Using One Camera. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001, 9(6): 685-702
[9] Yamaguchi K. A Method for Identifying Specific Vehicles Using Template Matching. In: Proc of the IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems. Tokyo, Japan, 1999, 8-13
[10]Alshebeili S A. Cumulant-Based Identification Approaches for Non-Minimum Phase FIR System. IEEE Trans on Singnal Processing, 1993, 41(4): 1576-1588
[11]Zhang A Q, Zhang X H. Recursive Estimation of Fourth-Order Cumulates and Application. Signal Processing, 2002, 18(1): 88-90 (in Chinese)
(张安清,章新华.四阶累积量的递推估计及其应用.信号处理, 2002, 18(1): 88-90) |
|
|
|
2006, Vol. 19 
