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活动的预测

Activity Forecasting
课程网址: http://videolectures.net/eccv2012_kitani_forecasting/  
主讲教师: Kris M. Kitani
开课单位: 卡内基梅隆大学
开课时间: 2012-11-12
课程语种: 英语
中文简介:
我们致力于从嘈杂的视觉输入中推断人们未来的行为。我们表示此任务活动预测。为了实现准确的活动预测,我们的方法模拟了物理环境对人类行为选择的影响。这是通过使用最先进的语义场景理解和最优控制理论的思想来实现的。我们的统一模型还集成了活动分析的其他几个关键要素,即目的地预测、序列平滑和转移学习。作为概念的证明,我们关注基于视觉输入的轨迹活动分析领域。实验结果表明,我们的模型准确地预测了个体未来行为的分布。我们展示了相同的技术如何通过利用关于可能目标和轨迹的信息来改进跟踪算法的结果。
课程简介: We address the task of inferring the future actions of people from noisy visual input. We denote this task activity forecasting. To achieve accurate activity forecasting, our approach models the effect of the physical environment on the choice of human actions. This is accomplished by the use of state of-the-art semantic scene understanding combined with ideas from optimal control theory. Our unified model also integrates several other key elements of activity analysis, namely, destination forecasting, sequence smoothing and transfer learning. As proof-of-concept, we focus on the domain of trajectory-based activity analysis from visual input. Experimental results demonstrate that our model accurately predicts distributions over future actions of individuals. We show how the same techniques can improve the results of tracking algorithms by leveraging information about likely goals and trajectories.
关 键 词: 视觉输入; 活动预测; 物理环境; 计算机科学
课程来源: 视频讲座网
数据采集: 2022-11-21:chenjy
最后编审: 2023-05-11:chenjy
阅读次数: 31