A multi-agent dynamic system for robust multi-face tracking

作者：

Highlights：

• A new multi-agent dynamic system MADS architecture for the complex computer vision tasks.

• An adaption of the proposed architecture to online multi-face tracking in video sequences.

• A logical representation model of relations and mental attitudes of agents involved in the MADS.

• The integration of two cognitively different type of agents for specific problem solving.

• The integration of state-of-the-art methods for face detection and tracking with BDI agents.

摘要

•A new multi-agent dynamic system MADS architecture for the complex computer vision tasks.•An adaption of the proposed architecture to online multi-face tracking in video sequences.•A logical representation model of relations and mental attitudes of agents involved in the MADS.•The integration of two cognitively different type of agents for specific problem solving.•The integration of state-of-the-art methods for face detection and tracking with BDI agents.

论文关键词：Multi-agent dynamic system,BDI agent,Multi-face tracking,De-identification pipeline

论文评审过程：Received 28 July 2018, Revised 5 December 2018, Accepted 4 February 2019, Available online 8 February 2019, Version of Record 1 March 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.02.008