PDbm: People detection benchmark repository

This paper is a postprint of a paper submitted to and accepted for publication in Electronics Letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library and IEEE XploreFollowing the approach of the change detection challenge, in order to facilitate the evaluation of new algorithms for people detection, a people detection benchmarking repository is presented. It includes realistic sequences, people detection ground truth and an evaluation framework. It will be updated based on received feedback, and will maintain a comprehensive ranking of submitted methods for years to come