English

SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences

Computer Vision and Pattern Recognition 2022-01-03 v1 Image and Video Processing

Abstract

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.

Cite

@article{arxiv.2112.14934,
  title  = {SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences},
  author = {Takehiro Tanaka and Hyomin Choi and Ivan V. Bajić},
  journal= {arXiv preprint arXiv:2112.14934},
  year   = {2022}
}

Comments

4 pages, 3 figures, submitted to Data in Brief

R2 v1 2026-06-24T08:35:34.742Z