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A Consistent Two-Level Metric for Evaluation of Automated Abandoned Object Detection Methods
Citation key 1506Krusch2017
Author Patrick Krusch and Erik Bochinski and Volker Eiselein and Thomas Sikora
Title of Book 24th IEEE International Conference on Image Processing (ICIP)
Pages 4352–4356
Year 2017
Address Beijing, China
Month sep
Note ISBN: 978-1-5090-2174-1
Abstract Scientific interest in automated abandoned object detection algorithms using visual information is high and many related systems have been published in recent years. However, most evaluation techniques rely only on statistical evaluation on the object level. Therefore and due to benchmarks with commonly only few abandoned objects and a non-standardized evaluation procedure, an objective performance comparison between different methods is generally hard. We propose a new evaluation metric which is focused on an end-user application case and an evaluation protocol which eliminates uncertainties in previous performance assessments. Using two variants of an abandoned object detection method, we show the features of the novel metric on multiple datasets proving its advantages over previously used measures.
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