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    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/75871
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/75871

    Authors: Li, Tsai-yen;Yu, Tzong-Hann
    Contributors: 資科系
    Date: 2000
    Issue Date: 2015-06-17 14:53:52 (UTC+8)
    Abstract: In tele -present or tele -operation applications, an inte l- ligent observer is a virtual camera that can perform autonomous motions to assist a user in accomplishing de- sired observing tasks. In this paper we consider the problem of generating and modifying the motions of an intelligent observer tracking a moving target in an online manner. Given the target's trajectory, we first plan the observer's motion to maintain visibility with the target while optimizing certain time-dependent camera-specific criteria. During the execution of the motion, we allow a user to interactively command the observer to deviate from the planned path while guaranteeing visibility with the target in the remaining motion. The online nature of the problem imposes a co n- straint on the planning time allowed in each execution cycle. Efficiency of the motion planner becomes the greatest con- cern. In this work we formulate the problem in the relative configuration-time space (CT-space) of the observer and adopt a best-first algorithm to search for a feasible path. In addition, we propose an incremental backward search algo- rithm in the CT-space to handle dynamic modification of the planned path. Simulation experiments show that the planner can generate a feasible tracking path in fractions of a sec- ond and maintain validity of the planned path for each exe- cution cycle in tens of milliseconds. This planning efficiency is achieved partly due to an efficient visibility detection al- gorithm that we have developed for planning tracking mo- tions. This implemented intelligent system is part of an in- teractive3D auto-navigation system for virtual factories. We believe that these experimental results can inspire a new line of potential applications that could benefit from active, in- telligent observations.
    Data Type: article
    Appears in Collections:[資訊科學系] 期刊論文

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