YN
Yeshwanth Napolean
Authored
1 records found
In this paper we evaluate running gait as an attribute for video person re-identification in a long-distance running event. We show that running gait recognition achieves competitive performance compared to appearance-based approaches in the cross-camera retrieval task and that g
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Contributed
4 records found
Heuristics2Annotate
Efficient Annotation of Large-Scale Marathon Dataset For Bounding Box Regression
Annotating a large-scale in-the-wild person re-identification dataset especially of marathon runners is a challenging task. The variations in the scenarios such as camera viewpoints, resolution, occlusion, and illumination make the problem non-trivial. Manually annotating boundin
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Person re-identification based on appearance is challenging due to varying views and lighting conditions in different cameras, or when multiple persons wear similar clothing styles and color. Considering these challenges, gait patterns provide an alternative to appearance, as gai
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Deep learning has significantly improved Re-Id per- formance but it requires a large amount of data, however, obtaining data is expensive from both time and money perspective. Inspired by ImageNet pre- trained models and synthetic data generation techniques, this paper investigat
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Visualizing runners trajectory from video data is not straightforward because the video data does not contain the explicit information of which runners appear in the video. Only the visual information related to the runner, such as runner’s unique ID (called bib number), is avail
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