Multi-agent Event Detection: Localization and Role Assignment

Suha Kwak, Bohyung Han, Joon Hee Han
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
We present a joint estimation technique of event localization and role assignment when the target video event is described by a scenario. Specifically, to detect multi-agent events from video, our algorithm identifies agents involved in an event and assigns roles to the participating agents. Instead of iterating through all possible agent-role combinations, we formulate the joint optimization problem as two efficient subproblems-quadratic programming for role assignment followed by linear
more » ... mming for event localization. Additionally, we reduce the computational complexity significantly by applying role-specific event detectors to each agent independently. We test the performance of our algorithm in natural videos, which contain multiple target events and nonparticipating agents.
doi:10.1109/cvpr.2013.346 dblp:conf/cvpr/KwakHH13 fatcat:2jokwlk24ngixat3hpkg2o7lbm