CCTV-Anomaly
π Paper | π» Code | π€ Model & Datasets
β¨ Dataset Description
CamTrack-53K is a large-scale, diverse, and high-quality training dataset for camera viewpoint control. It contains 53K viewpoint trajectory annotations, organized into SFT and RL training subsets. It was proposed in our paper Thinking with Cameras: Active Visual Reasoning via Dynamic Viewpoint Control for Surveillance Video Understanding and used for training the CamVLM model.
π Dataset Statistics
CamTrack-53K contains a total of 53,059 viewpoint trajectory annotations. The corresponding videos are sourced from:
- MeViS (8,459 annotations)
- A2D (26,221 annotations)
- YouTube-VOS (18,379 annotations)
π Usage
To download and use the dataset for training, please refer to the instructions in our GitHub Repository.
π Citation
If you find our work helpful for your research and applications, please cite our paper:
@article{zhang2026thinking,
title={Thinking with Cameras: Active Visual Reasoning via Dynamic Viewpoint Control for Surveillance Video Understanding},
author={Zhang, Xiao and Zeng, Wang and Jin, Sheng and Liu, Wentao and Qian, Chen and Kan, Shichao},
journal={arXiv preprint arXiv:2609.06475},
year={2026}
}
- Downloads last month
- 52
Models trained or fine-tuned on xiaozhang79/CamTrack-53K
Video-Text-to-Text β’ 9B β’ Updated β’ 12 β’ 2