Abstract: In order to review all the interested contents from large volume recorded surveillance videos in very short time, a video digest method based on target indexing was presented in the paper. On the basis of optical flow analysis, the background got updated in the still region and the moving object image got segmented from the moving area. Accelerated motion model constrained the candidate points for corresponding feature tracking. Successful establishment of trajectory became the basic reference to cluster the whole objects into several classes. All the objects parameters such as size, velocity, and color were saved in XML format as the indexes. Finally, the living digest video was reproduced by mosaicking the selected objects images on the background frame by frame in the same order as original. Since the method removes all the spatial and temporal redundancy, a much shorter living video could browse all useful information of a long surveillance one.

Key words: video digest, video condensation , video retrieval, video surveillance, object tracking

摘要： 为解决海量监控视频的快速浏览和检索，介绍了一种基于目标索引的视频摘要和检索方法。该方法在光流分析的基础上，在画面的静止区域更新背景，运动的区域利用差分法分割出运动目标图像。经过优化的快速特征匹配和建立运动跟踪模型后，根据目标运动轨迹，按照时空距离进行聚类。在目标图像数据和运动参数进行XML结构化存储为索引的基础上，最后在检索时将符合条件的所有目标图像，按照其原有时间顺序逐帧贴到同一个背景图像中，形成动态的摘要视频。由于该方法剔除了背景中大量的时空冗余信息，可在较短回放时间内浏览全部有用目标，显著提高海量监控视频的查阅效率。

关键词: 视频摘要, 视频浓缩, 视频检索, 视频监控, 目标跟踪