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Pedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model
March 19, 2024, 4:50 a.m. | Jan Krej\v{c}\'i, Oliver Kost, Ond\v{r}ej Straka, Jind\v{r}ich Dun\'ik
cs.CV updates on arXiv.org arxiv.org
Abstract: A first-principle single-object model is proposed for pedestrian tracking. It is assumed that the extent of the moving object can be described via known statistics in 3D, such as pedestrian height. The proposed model thus need not constrain the object motion in 3D to a common ground plane, which is usual in 3D visual tracking applications. A nonlinear filter for this model is implemented using the unscented Kalman filter (UKF) and tested using the publicly …
abstract arxiv cs.cv moving object pedestrian statistics tracking type via
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