Recognizing Action at a Distance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Modeling temporal structure of decomposable motion segments for activity classification
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Soccer video event detection by fusing middle level visual semantics of an event clip
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Stochastic Representation and Recognition of High-Level Group Activities
International Journal of Computer Vision
Automatic Compositing Soccer Video Highlights with Core-Around Event Model
CADGRAPHICS '11 Proceedings of the 2011 12th International Conference on Computer-Aided Design and Computer Graphics
Parsing video events with goal inference and intent prediction
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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This paper presents an approach for video event inference from dozens of actions performed by multiple players. First, we constructed an And-Or graph to describe the different configurations of the event category such as shooting in soccer matches. We considered both temporal relations and role relations for the graph and encode them as vector parameters for each pair of graph nodes. Then, we developed an inference algorithm by using bottom-up and top-down processes. We found the proposals for each node during the bottom-up step by considering three terms of energies and refined the proposals during the top-down step by measuring the action-labeling similarity and the temporal misplacement penalty. The optimal proposal of the inferring event and its score are obtained as the result. In the experiments, we tested the inference performance of the approach for the shooting events on real soccer match videos. By our approach, we can infer different kinds of shooting events in one scenario and interpret them play-by-play in a flexible way. Copyright © 2012 John Wiley & Sons, Ltd.