Reference TypeConference Proceedings
Citation KeyAlmeidaJung:2013:ChDeHu
Author1 Almeida, Igor Rodrigues de
2 Jung, Claudio Rosito
Affiliation1 Federal University of Rio Grande do Sul
2 Federal University of Rio Grande do Sul
TitleChange detection in human crowds
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
Book TitleProceedings
DateAug. 5-8, 2013
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationArequipa, Peru
KeywordsCrowd analysis, Unusual event detection, Video surveillance.
AbstractThis paper presents a method to detect unusual behavior in human crowds based on histograms of velocities in world coordinates. A combination of background removal and optical flow is used to extract the global motion at each image frame, discarding small motion vectors due artifacts such as noise, non-stationary background pixels and compression issues. Using a calibrated camera, the global motion can be estimated, and it is used to build a 2D histogram containing information of speed and direction for all frames. Each frame is compared with a set of previous frames by using a histogram comparison metric, resulting in a similarity vector. This vector is then used to determine changes in the crowd behavior, also allowing a classification based on the nature of the change in time: short or long-term changes. The method was tested on publicly available datasets involving crowded scenarios.
Tertiary TypeFull Paper
Size10550 KiB
Number of Files1
Target FilePID2848451.pdf
Last Update2013:
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