Comparison of model-based pose evaluation algorithm in traffic scenes

被引：0
|
作者：
Liu, QF [1 ]
Lou, JG [1 ]
Hu, WM [1 ]
Tan, TN [1 ]
机构：
[1] Chinese Acad Sci, NLPR, Inst Automat, Beijing 100864, Peoples R China
来源：
SECOND INTERNATION CONFERENCE ON IMAGE AND GRAPHICS, PTS 1 AND 2 | 2002年 / 4875卷
关键词：
pose evaluation; model-based object recognition; visual surveillance;
D O I：
10.1117/12.477066
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A fundamental issue in 3D model-based vehicle tracking is pose recovery consisting of pose evaluation and refinement. In this paper, we compare two algorithms for pose evaluation. For the sake of self-containedness, the algorithms are first outlined. Experimental results under various conditions are then shown. We compare and analyze the results, and also discuss possible improvements of the two algorithms that may lead to better performance.
引用
收藏
页码：761 / 765
页数：5
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