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Informations générales |
| Auteur |
Grigorescu, Sorin M.; Pozna, Claudiu |
| Publié |
InTech Open Access Publisher, 2013
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| Abstract |
In this paper, a new object tracking system is
proposed to improve the object manipulation
capabilities of service robots. The goal is to continuously
track the state of the visualized environment in order to
send visual information in real time to the path
planning and decision modules of the robot; that is, to
adapt the movement of the robotic system according to
the state variations appearing in the imaged scene. The
tracking approach is based on a probabilistic
collaborative tracking framework developed around a
2D patch‐based tracking system and a 2D‐3D point
features tracker. The real‐time visual information is
composed of RGB‐D data streams acquired from stateof‐
the‐art structured light sensors. For performance
evaluation, the accuracy of the developed tracker is
compared to a traditional marker‐based tracking system
which delivers 3D information with respect to the
position of the marker. |
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International Journal of Advanced Robotic Systems
Auteur: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publié: 2004
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