SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences
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Abstract (arXiv)
We present a dataset that contains object annotations with unique object identities (IDs) for the High Efficiency Video Coding (HEVC) v1 Common Test Conditions (CTC) sequences. Ground-truth annotations for 13 sequences were prepared and released as the dataset called SFU-HW-Tracks-v1. For each video frame, ground truth annotations include object class ID, object ID, and bounding box location and its dimensions. The dataset can be used to evaluate object tracking performance on uncompressed video sequences and study the relationship between video compression and object tracking.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 10 of its 18 references that are in the map. First posted on arXiv 30 Dec 2021.
Builds on
10 of 18 references.
References · 10
- 2014Microsoft COCO: Common Objects in Contextcited by 17,498
- 2021Scalable Image Coding for Humans and Machinescited by 65
- 2018Towards Image Understanding from Deep Compression without Decodingcited by 52
- 2018Deep feature compression for collaborative object detectioncited by 48
- 2017High efficiency compression for object detectioncited by 23
- 2019Multi-task learning with compressible features for Collaborative Intelligencecited by 20
- 2021Latent-space scalability for multi-task collaborative intelligencecited by 17
- 2018MV-YOLO: Motion Vector-aided Tracking by Semantic Object Detectioncited by 6
- 2017Can you tell a face from a HEVC bitstream?cited by 3
- 2017Can you find a face in a HEVC bitstream?cited by 2
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Citing papers per year: 2022: 2.
2 papers.