Conditional Random Fields for Detection of Visual Object Classes
High-level computer vision tasks, such as object detection in single images, are of growing importance for our every day lives. Reliable systems for object detection, in particular, may simplify our lives significantly or make them safer (e.g.~in driver assistance scenarios). %This dissertation stud...
Main Author: | Schnitzspan, Paul |
---|---|
Format: | Others |
Language: | English en |
Published: |
2010
|
Online Access: | https://tuprints.ulb.tu-darmstadt.de/2278/1/thesis_print.pdf Schnitzspan, Paul <http://tuprints.ulb.tu-darmstadt.de/view/person/Schnitzspan=3APaul=3A=3A.html> (2010): Conditional Random Fields for Detection of Visual Object Classes.Darmstadt, Technische Universität, [Ph.D. Thesis] |
Similar Items
-
Multi-class Video Objects Segmentation Based on Conditional Random Fields
by: Zhiwei HE, et al.
Published: (2014-01-01) -
One-Class Conditional Random Fields for Sequential Anomaly Detection
by: Song, Yale, et al.
Published: (2014) -
Object recognition with latent Conditional Random Fields
by: Quattoni, Ariadna J
Published: (2006) -
Contextual Hierarchical Part-Driven Conditional Random Field Model for Object Category Detection
by: Lizhen Wu, et al.
Published: (2012-01-01) -
Recognition of visual object classes
by: Burl, Michael C.
Published: (1997)