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-...
المؤلفون الرئيسيون: | Ren, C, Prisacariu, V, Kähler, O, Reid, I, Murray, D |
---|---|
التنسيق: | Journal article |
منشور في: |
Springer
2017
|
مواد مشابهة
-
Real-time 3D tracking and reconstruction on mobile phones
حسب: Prisacariu, VA, وآخرون
منشور في: (2014) -
Object Tracking Using Maximum Colour Distance under Illumination Change
حسب: Inteck Whoang, وآخرون
منشور في: (2012-11-01) -
Hierarchical voxel block hashing for efficient integration of depth images
حسب: Kahler, O, وآخرون
منشور في: (2015) -
Real-time large-scale dense 3D reconstruction with loop closure
حسب: Kähler, O, وآخرون
منشور في: (2016) -
Real - time multiple object tracking /
حسب: 403467 Yeoh, Phaik Yong, وآخرون
منشور في: (2003)