Finding Paths in Video Sequences
Finding Paths in Video Sequences
复制标题
寻找视频序列中的路径
DOI：
10.5244/c.15.28
复制
发表时间：
2001
期刊：
影响因子：
--
通讯作者：
T. Ellis
中科院分区：
文献类型：
--
作者：
D. Makris;T. Ellis
本文研究了从自然户外场景的视频序列中识别常用路径的任务。路径模型是自适应学习的轨迹数据在许多图像帧的积累。标记的路径被用作用于压缩用于测井目的的轨迹数据的有效手段。此外，路径模型被用来预测对象的位置提前许多时间步，并帮助识别不寻常的行为被识别为非典型的对象运动。
This paper investigates the ta sk of identifying frequently-used pathways from video sequences of natural outdoor scenes. Path models are adaptively learnt from the accumulation of trajectory data over many image frames. Labelled paths are used as an efficient means for compressing the trajectory data for logging purposes. In addition, the path models are used to predict the object’s location many timesteps ahead, and to aid the recognition of unusual behaviour identified as atypical object motion.