PDbm: people detection benchmark repository

Following 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 upda...

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Published in:Electronics letters 2015-04, Vol.51 (7), p.559-560
Main Authors: García-Martín, A, Alcedo, B, Martínez, J.M
Format: Article
Language:English
Subjects:
Algorithms
Benchmarking
Change detection
Feedback
Ground truth
Image and vision processing and display technology
image sequences
object detection
PDbm
people detection benchmark repository
people detection ground truth
Ranking
realistic sequences
Repositories
video signal processing
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cited_by cdi_FETCH-LOGICAL-c4145-b4e30f8b2b1babbf3c8ec7e687ea10a42c6f57ca6fa02138b8803b87bc0a7e243
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container_end_page 560
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container_start_page 559
container_title Electronics letters
container_volume 51
creator García-Martín, A
Alcedo, B
Martínez, J.M
description Following 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.
doi_str_mv 10.1049/el.2014.3795
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subjects Algorithms
Benchmarking
Change detection
Feedback
Ground truth
Image and vision processing and display technology
image sequences
object detection
PDbm
people detection benchmark repository
people detection ground truth
Ranking
realistic sequences
Repositories
video signal processing
title PDbm: people detection benchmark repository
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