cvpr cvpr2013 cvpr2013-292 cvpr2013-292-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Suha Kwak, Bohyung Han, Joon Hee Han
Abstract: 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 programming 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.