Tracking multiple agents in an intelligent space with probabilistic algorithms and a camera ring

Abstract

Detecting, tracking and identifying different non-rigid agents in smart spaces is solved with a probabilistic filter proposed in this paper. A camera ring statically mounted in the intelligent space is used as observation system. Besides, three subsystems create the global detection and tracking algorithm: a three-dimensional reconstruction of these entities; a global tracker of all these entities made of a multimodal filter; and a deterministic classifier based on a connectivity map that obtains the individual agents in the smart space. A the end of the paper, different results and reliability statistics are presented in order to demonstrate the global functionality in real executions of the proposal presented.