Multiple sequences recorded in two different indoor rooms, using both omnidirectional and perspective cameras, containing people in a variety of situations (people walking, standing, and sitting). Both annotated and non-annotated sequences are provided, where ground truth is point-based. In total, more than 100,000 annotated frames are available.
For the CAVIAR project a number of video clips were recorded acting out the different scenarios of interest. These include people walking alone, meeting...
video surveillanceCUHK crowd dataset introduces the largest publicly available crowd dataset of 474 videos from 215 crowded scenes. It has been used in the paper: Sce...
crowd analysis, video classification, scene understanding, group detection and analysis, video surveillanceAn indoor dataset collected from a university campus for physical event understanding of long video streams.
video surveillanceThe dataset consist of the about 50 hours obtained from kindergarten surveillance videos. Dataset, totally approximately 100 videos sequences (1000GB, 5...
segmentation, action, behavior, video surveillance, human, backgroundA busy outdoor dataset for research on visual surveillance.
video surveillanceViSOR contains a large set of multimedia data and the corresponding annotations.
video surveillance