Agent-based framework to individual tracking in unconstrained environments

作者：

Highlights：

• A framework to detect, identify and track individuals is proposed.

• Agents’ communication language complies with FIPA standards using cloud storage.

• Manager, face detector and face tracker agents interact by contract net protocol.

• Face detection uses Scale Invariant Feature Transform/Speeded Up Robust Features.

• The proposed framework tracks individuals in unconstrained environments.

摘要

•A framework to detect, identify and track individuals is proposed.•Agents’ communication language complies with FIPA standards using cloud storage.•Manager, face detector and face tracker agents interact by contract net protocol.•Face detection uses Scale Invariant Feature Transform/Speeded Up Robust Features.•The proposed framework tracks individuals in unconstrained environments.

论文关键词：Multiagent systems,Unconstrained tracking,Cloud storage

论文评审过程：Received 29 August 2016, Revised 26 May 2017, Accepted 27 May 2017, Available online 14 June 2017, Version of Record 14 June 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.065