Moving objects forecast in image sequences using autoregressive algorithms

被引：3
|
作者：
Luis Crespo, Jose [2 ]
Zorrilla, Marta [1 ]
Bernardos, Pilar [2 ]
Mora, Eduardo [2 ]
机构：
[1] Univ Cantabria, Dept Stat & Computat Math, E-39005 Santander, Spain
[2] Univ Cantabria, Dept Appl Math & Comp Sci, E-39005 Santander, Spain
来源：
VISUAL COMPUTER | 2009年 / 25卷 / 04期
关键词：
Tracking and prediction; Image sequence analysis; Causal images; Autoregressive model; PREDICTION; MOTION; MODEL;
D O I：
10.1007/s00371-008-0270-8
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The objective of this paper is to present an overall approach to forecasting the future position of the moving objects of an image sequence after processing the images previous to it. The proposed method makes use of classical techniques such as optical flow to extract objects' trajectories and velocities, and autoregressive algorithms to build the predictive model. Our method can be used in a variety of applications, where videos with stationary cameras are used, moving objects are not deformed and change their position with time. One of these applications is traffic control, which is used in this paper as a case study with different meteorological conditions to compare with.
引用
收藏
页码：309 / 323
页数：15
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