Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking
Documentos PDF
Abstract
This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.
Creative Commons
https://creativecommons.org/licenses/by-sa/4.0/Link to resource
https://directory.doabooks.org/handle/20.500.12854/47470Collections
Estadísticas Google Analytics
Comments
Respuesta Comentario Repositorio Expeditio
Gracias por tomarse el tiempo para darnos su opinión.