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-...
Hoofdauteurs: | Ren, C, Prisacariu, V, Kähler, O, Reid, I, Murray, D |
---|---|
Formaat: | Journal article |
Gepubliceerd in: |
Springer
2017
|
Gelijkaardige items
-
Real-time 3D tracking and reconstruction on mobile phones
door: Prisacariu, VA, et al.
Gepubliceerd in: (2014) -
Object Tracking Using Maximum Colour Distance under Illumination Change
door: Inteck Whoang, et al.
Gepubliceerd in: (2012-11-01) -
Hierarchical voxel block hashing for efficient integration of depth images
door: Kahler, O, et al.
Gepubliceerd in: (2015) -
Real-time large-scale dense 3D reconstruction with loop closure
door: Kähler, O, et al.
Gepubliceerd in: (2016) -
MULTIPLE VEHICLES AND PEOPLE TRACKING IN AERIAL IMAGERY USING STACK OF MICRO SINGLE-OBJECT-TRACKING CNNS
door: R. Bahmanyar, et al.
Gepubliceerd in: (2019-10-01)