BEV

The BEVTrack benchmark consists of two complementary datasets: CVMHAT-BEVT and BEVT-S, designed for multi-view human tracking with bird's-eye view (BEV) capabilities. CVMHAT-BEVT is adapted from the public CVMHAT dataset, featuring 21 synchronous multi-view videos across five scenes, with 7-12 individuals per scene and video durations ranging from 200 to 1,500 frames. Each scene contains 2-4 side views and includes synchronized BEV footage captured by drones, along with annotated bounding boxes and unified ID numbers for all subjects across views.

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This dataset is in support of my research paper 'ElectroMagnetic Fields in Wireless Charging of Electric Vehicles '.

Preprint :

This is useful for industries, manufacturers,doctors,environmentalists, who are curious to see and know.

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