An Exploratory Analysis Tool for a Long-Term Video from a Stationary Camera

We present an interactive tool for the exploratory analysis of a long-term video from a stationary camera. The tool consists of three key methods: spatial change visualization, temporal change visualization, and similarity-based video retrieval. The first two methods provide the summarization of the long-term video that lets the user know where and when changes frequently occurred during a certain period, enabling the user to find an event of interest from the long-term video. In addition, with the third method, the user can search the video for a similar event, enabling the user to count events of interest and to observe distributions of such events. These methods are uniformly implemented using frame differences in 1-bit depth, making the implementation of these methods simple but efficient.