Multi-camera Multiple People Tracking Workshop

Multiple object tracking is one of the most basic and most important tasks in computer vision. It is one of the fundamental research topics in understanding visual content. It has numerous applications in indoor navigation, motion capture, human computer interaction, robotics etc.

For single-camera tracking, there are several datasets and benchmarks, which stimulate novel ideas of tracking models using sequential information. For multi-camera tracking, data collection and labeling are much more difficult. Thus, there are only a few small datasets available and no common benchmarks.

To support the community to develop more efficient and novel tracking algorithms, we construct a multi-camera multiple people tracking dataset. We expect our datasets can also be served as an evaluation benchmark for this task. This challenge invites all research teams to participate, and dataset will be released to the research community. We invite academic and industrial researchers to participate in this multi-camera multiple people tracking contest.

https://iccv2021-mmp.github.io/