Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks

@article{Jiang2018DataFM,
  title={Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks},
  author={Xiaoyan Jiang and Zhijun Fang and Naixue N. Xiong and Yongbin Gao and Bo Huang and Juan Zhang and Lei Yu and Patrick Harrington},
  journal={IEEE Access},
  year={2018},
  volume={6},
  pages={13716-13728}
}
Camera node perception capability is one of the crucial issues for visual sensor networks, which belongs to the field of Internet of Things. Multi-object tracking is an important feature in analyzing object trajectories across multiple cameras, thus allowing synthesis of data and security analysis of images in various scenarios. Despite intensive research… CONTINUE READING