Semi-Automatic Video Annotation For Object Detection

ArXiv(2021)

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摘要
In this study, a semi-automatic video annotation method is proposed, utilizing temporal information to eliminate falsepositives with a tracking-by-detection approach by employing multiple hypothesis tracking (MHT). MHT method automatically forms tracklets which are confirmed by human operators to enlarge the training set. A novel incremental learning approach helps to annotate videos in an iterative way. The experiments performed on AUTH Multidrone Dataset reveals that the annotation workload can be reduced up to 96% by the proposed approach.
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关键词
object detection,annotation,video,semi-automatic
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