| Summary: | 碩士 === 國立臺灣大學 === 電信工程學研究所 === 95 === Videos are all around us. One of the key to understand a video automatically is to analyze to motions within it. In the past two decades, researches have been conducted against this topic.
First, the general procedure of motion analysis is reviewed in the related work, including motion detection, motion segmentation, and object classification. Then, some applications of motion analysis are mentioned, such as video surveillance and personal identification. Techniques related to these applications are summarized, such as object tracking and behavior understanding.
Then, a direct way to understand the behavior of a video is introduced. We focus on this optical-flow based approach to recognize action in video sequences. This method uses space-time volumes to perform correlation between templates. All the process of this approach start with the basic unit, space-time patches. With the well developed properties of these space-time patches, the correlation between two large templates can be practiced. Some results from experiments have proved the validity of this method. The concept of this method is direct and simple, and it is irrelevant to the appearance of the moving object, but the implementation of experiments should be designed with the consideration of high computation complexity.
|
|---|
