Improved AP Clustering Algorithm Based on Target Segmentation

被引：3
|
作者：
Wang Xiaoli [1 ]
Yang Lei [2 ]
Wang Lirong [1 ]
Xu Jing [1 ]
机构：
[1] Changchun Univ, Coll Elect Informat & Engn, Changchun, Peoples R China
[2] Chinese Acad Sci, Coll Elect Informat & Engn, Changchun Inst Opt Fine Mech & Phys, Changchun, Peoples R China
来源：
2013 IEEE NINTH INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR NETWORKS (MSN 2013) | 2013年
关键词：
visual navigation; complex background; avoidance; objects clustering;
D O I：
10.1109/MSN.2013.86
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describe a feasible scheme of local visual navigation, local visual navigation application scenarios often some with complex background, target species more real scenario that the obstacle avoidance is particularly important. In particular the visual navigation target segmentation in the background and the foreground objects more complex scenarios important for predicting pre-step. This visual navigation closer to the qualitative analysis of the scene, so the performance can be weak, but easy to implement, without artificial markers, but more dependent on hardware performance, available online AP Cluster is running.
引用
收藏
页码：539 / 541
页数：3
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