Multi-Camera Trajectory Forecasting Framework Introduced
A recent research paper presents the challenge of multi-camera trajectory forecasting (MCTF), which aims to predict the path of a moving object across multiple camera networks. This study, published on arXiv (2108.04694), points out that current methods are primarily focused on single-camera trajectory forecasting (SCTF), which restricts their effectiveness in areas such as traffic monitoring and surveillance. The new framework leverages all estimated relative object positions from various angles to forecast the object's future location across all viewpoints. It employs a Which-When-Where strategy to determine the cameras where objects will appear, as well as the timing and positioning within those views. Authored by a team of researchers, this paper was released in 2021 and is accessible via the provided link.
Key facts
- The paper introduces the problem of multi-camera trajectory forecasting (MCTF).
- Existing methods focus on single-camera trajectory forecasting (SCTF).
- MCTF predicts trajectories across a network of cameras.
- The framework uses all estimated relative object locations from several viewpoints.
- It predicts future location in all possible viewpoints.
- The approach is called Which-When-Where.
- The paper is available on arXiv with ID 2108.04694.
- The paper was announced as a cross-type publication.
Entities
Institutions
- arXiv