Assessing machine learning classifiers for the detection of animals’ behavior using depth-based tracking

作者：

Highlights：

• Animal Computer Interaction studies could benefit from automatic behavior detection.

• Cats’ body postures and orientation can be determined using depth-based information.

• Depth-based trackers offer promising accuracy rates classifying cats’ postures.

摘要

•Animal Computer Interaction studies could benefit from automatic behavior detection.•Cats’ body postures and orientation can be determined using depth-based information.•Depth-based trackers offer promising accuracy rates classifying cats’ postures.

论文关键词：Tracking system,Animal Computer Interaction,Depth-based tracking,Classification algorithms,Intelligent system

论文评审过程：Received 20 April 2016, Revised 26 May 2017, Accepted 27 May 2017, Available online 29 May 2017, Version of Record 30 June 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.063