This approach not only provides players 3D locations but also gives their ID information that is distinguishable from others. Experimental results demonstrate ...

3D localization aims to extract targets 3D coordinates from image sequences, applied in both monocular and multi-camera scenarios. The localization results are ...

This approach not only provides players 3D locations but also gives their ID information that is distinguishable from others. Experimental results demonstrate ...

Similarly, Yang et al. [27] and Maglo et al. [15] demonstrated that by localizing the field and players, the tracking results in football can be more accurate.

Xu, ”Multi-camera sports play- ers 3D localization with identification reasoning,” in Proceedings of the IEEE. International Conference on Pattern ...

This work designs the algorithms with a multi-dimensional Bayesian model to create a Probabilistic and Identified Occupancy Map (PIOM) and jointly applies ...

Multi-camera sports players 3d localization with identification reasoning. ... Features for multi-target multi-camera tracking and re-identification.

Xu, ”Multi-camera sports play- ers 3D localization with identification reasoning,” in Proceedings of the IEEE. International Conference on Pattern ...

An innovative method which jointly implements deep learning based player detection and occupancy probability based player localization is proposed, ...