Temporal Mapping of Surveillance Video

Abstract

This paper visualizes surveillance video contents effectively in a 2D temporal image for indexing and retrieving a large video database. As an intermediate representation, this work extracts a temporal profile from video to convey accurate temporal information while keeps certain spatial characteristics for recognition. Different from spatial video indexing such as video synopsis that montages video frames for video summarization, our temporal indexing is achieved by designing a scheme to observe video from a side of video volume. A series of sampling lines are located over the field of view along the principal directions of targets to probe target motion, and the position varied temporal slices are obtained from the video volume. These slices are blended into the temporal profile with transparencies related to their spatial locations in the video. Static background and targets with less motion are further embedded into the temporal profile. Our goal is to provide less deformed shapes, more spatial information, and precise event occurrence in the temporal profile for video index and browsing.