Prediction and tracking of moving objects in image sequences

被引:33
作者
Bors, AG [1 ]
Pitas, I [1 ]
机构
[1] Univ Thessaloniki, Dept Informat, GR-54006 Salonika, Greece
关键词
Bayes procedures; image sequence analysis; tracking;
D O I
10.1109/83.855440
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We employ a prediction model for moving object velocity and location estimation derived from Bayesian theory. The optical flow of a certain moving object depends on the history of its previous values. A joint optical flow estimation and moving object segmentation algorithm is used for the initialization of the tracking algorithm. The segmentation of the moving objects is determined by appropriately classifying the unlabeled and the occluding regions. Segmentation and optical flow tracking is used for predicting future frames.
引用
收藏
页码:1441 / 1445
页数:5
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