OTIF: Efficient Tracker Pre-processing over Large Video Datasets-Reference-Cited by-同舟云学术

OTIF: Efficient Tracker Pre-processing over Large Video Datasets

Published:2022-06-10 Issue: Volume: Page:
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Container-title:Proceedings of the 2022 International Conference on Management of Data
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Author:

Bastani Favyen¹,Madden Samuel¹

Affiliation:

1. Massachusetts Institute of Technology, Cambridge, MA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3514221.3517835

Reference27 articles.

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2. Alex Bewley , Zongyuan Ge , Lionel Ott , Fabio Ramos , and Ben Upcroft . 2016 . Simple Online and Realtime Tracking. In IEEE International Conference on Image Processing (ICIP). IEEE, 3464--3468 . Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Ramos, and Ben Upcroft. 2016. Simple Online and Realtime Tracking. In IEEE International Conference on Image Processing (ICIP). IEEE, 3464--3468.

3. Peng Chu and Haibin Ling . 2019 . FAMNet: Joint Learning of Feature , Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking. In IEEE International Conference on Computer Vision (ICCV). Peng Chu and Haibin Ling. 2019. FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking. In IEEE International Conference on Computer Vision (ICCV).

4. Alexey Dosovitskiy , Philipp Fischer , Eddy Ilg , Philip Hausser , Caner Hazirbas , Vladimir Golkov , Patrick Van Der Smagt , Daniel Cremers , and Thomas Brox . 2015 . FlowNet: Learning Optical Flow with Convolutional Networks. In IEEE International Conference on Computer Vision (ICCV). 2758--2766 . Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick Van Der Smagt, Daniel Cremers, and Thomas Brox. 2015. FlowNet: Learning Optical Flow with Convolutional Networks. In IEEE International Conference on Computer Vision (ICCV). 2758--2766.

5. Dynamic Zoom-in Network for Fast Object Detection in Large Images

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