Lifting Multi-View Detection and Tracking to the Bird's Eye View

arXiv:2403.12573v1 Announce Type: new
Abstract: Taking advantage of multi-view aggregation presents a promising solution to tackle challenges such as occlusion and missed detection in multi-object tracking and detection. Recent advancements in multi-view detection and 3D object recognition have significantly improved performance by strategically projecting all views onto the ground plane and conducting detection analysis from a Bird's Eye View. In this paper, we compare modern lifting methods, both parameter-free and parameterized, to multi-view aggregation. Additionally, we present an architecture that …

arxiv bird cs.cv detection tracking type view