On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities
In many computer vision applications, objects have to be learned and recognized in images or image sequences. This book presents new probabilistic hierarchical models that allow an efficient representation of multiple objects of different categories, scales, rotations, and views. The idea is to expl...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
|
| Series: | Studies in Systems, Decision and Control,
11 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Introduction
- Probabilistic Graphical Models
- Hierarchical Graphical Models
- Learning of Hierarchical Models.-Object Recognition
- Human Pose Estimation
- Scene Understanding for Intelligent Vehicles
- Conclusion.