Sloop: A pattern retrieval engine for individual animal identification

作者：

Highlights：

• First individual animal identification system based on relevance feedback.

• State-of-the-art results for five species with operational use in two of them.

• A framework to create scalable and extensible systems with multiple methods.

• An iterative strategy for integration of vision, biology, crowds and citizen science.

摘要

Highlights•First individual animal identification system based on relevance feedback.•State-of-the-art results for five species with operational use in two of them.•A framework to create scalable and extensible systems with multiple methods.•An iterative strategy for integration of vision, biology, crowds and citizen science.

论文关键词：Photo-identification,Animal biometrics,Individual identification,Relevance feedback,Crowdsourcing,Conservation,Scale-cascaded alignment,Local features,Hybrid shape contexts,Gecko,Skink,Whale shark,Salamander

论文评审过程：Received 2 January 2014, Revised 7 June 2014, Accepted 19 July 2014, Available online 1 August 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.07.017