Real-time tracking of single and multiple objects from depth-colour imagery Using 3D signed distance functions
We describe a novel probabilistic framework for real-time tracking of multiple objects from combined depthcolour imagery. Object shape is represented implicitly using 3D signed distance functions. Probabilistic generative models based on these functions are developed to account for the observed RGB-...
Hlavní autoři: | Ren, C, Prisacariu, V, Kähler, O, Reid, I, Murray, D |
---|---|
Médium: | Journal article |
Vydáno: |
Springer
2017
|
Podobné jednotky
-
Real-time 3D tracking and reconstruction on mobile phones
Autor: Prisacariu, VA, a další
Vydáno: (2014) -
Object Tracking Using Maximum Colour Distance under Illumination Change
Autor: Inteck Whoang, a další
Vydáno: (2012-11-01) -
Hierarchical voxel block hashing for efficient integration of depth images
Autor: Kahler, O, a další
Vydáno: (2015) -
Real-time large-scale dense 3D reconstruction with loop closure
Autor: Kähler, O, a další
Vydáno: (2016) -
MULTIPLE VEHICLES AND PEOPLE TRACKING IN AERIAL IMAGERY USING STACK OF MICRO SINGLE-OBJECT-TRACKING CNNS
Autor: R. Bahmanyar, a další
Vydáno: (2019-10-01)