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Affordance Detection, Context in Object Detection and Tracking, Exploiting Temporal Structure in Image Sequences,Boosting based Trackers,Event Detection / Abnormal Behavior Analysis,Object Detection,Scene Understanding & On-line Learning

ECCV08_overview

Selected Publications

click here for all publications
Affordance Detection

  

What Makes a Chair a Chair?
H. Grabner, J. Gall, and L. Van Gool

In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011, Poster

Supplementary Material:
Full full resolution ranking lists (Fig. 7), our approachappearance
Chair-Dataset

Context in Object Detection and Tracking

Dynamic Objectness for Adaptive Tracking
S. Stalder, H. Grabner, and L. Van Gool
In Proceedings Asian Conference on Computer Vision (ACCV), 2012,Poster

Tracking the Invisible: Learning Where the Object Might be
H. Grabner, 
J. Matas, L. Van Gool, and P. Cattin
In 
Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, Talk,Video Lecture

Cascaded Confidence Filtering for Improved Tracking-by-Detection
S. Stalder, H. Grabner, 
and L. Van Gool
In Proceedings European Conference on Computer Vision (ECCV), 2010,Poster

overview Exploring Context to Learn Scene Specific Object Detectors
S. Stalder, H. Grabner, and L. van Gool
In Proceedings CVPR09 Workshop on Performance Evaluation of Tracking and Surveillance (PETS), 2009

Realted (previous) work:
Classifier Grids for Robust Adaptive Object Detection
S. Sternig, P. Roth, H. Grabner, and H. Bischof
In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009
Exploiting Temporal Structure in Image Sequences

Temporal Relations in Videos for Unsupervised Activity Analysis
F. Nater, H. Grabner, and L. Van Gool
In Proceedings British Machine Vision Conference (BMVC), 2011

Videos:
Supplementary Material

Unsupervised Workow Discovery in Industrial Environments
F. Nater, H. Grabner, and L. Van Gool
InProceedings ICCV’11 WS on Visual Surveillance, 2011

Videos:
coming soon

Related Work:
Automatic Workflow Monitoring in Industrial Environments
G. Veres, H. Grabner, L. Middleton, and L. Van Gool 
In 
Proceedings Asian Conference on Computer Vision (ACCV), 2010

Keep Breathing! Common Motion Helps Multi-modal Mapping
V. De Luca, H. Grabner, L. Petrusca, R. Salomi, G. Szekely, and C. Tanner
In Proceedings International Conference on Medical Computing and Computer Assisted Intervention (MICCAI), 2011

Boosting based Trackers


Beyond Semi-Supervised Tracking: Tracking Should Be as Simple as Detection, but not Simpler than Recognition
S. Stalder, H. Grabner, and L. Van Gool
In Proceedings 
ICCV’09 WS on On-line Learning for Computer Vision, 2009

updateGif Binaries/Code/Evaluations:
see project web-page

Semi-supervised On-line Boosting for Robust Tracking
H. Grabner, C. Leistner, and H. Bischof
In Proceedings European Conference on Computer Vision (ECCV), 2008,Poster

overview Real-time Tracking via On-line Boosting
H. Grabner, M. Grabner, and H. Bischof.  
In Proceedings British Machine Vision Conference (BMVC), volume 1, pages 47-56, 2006, Talk

Video:
“Tracking Shrek and others”

M. Grabner, H. Grabner, and H. Bischof
In Video Proceedings in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006
Event Detection / Abnormal Behavior Analysis
     

Exploiting Simple Hierarchies for Unsupervised Human Behavior Analysis
F. Nater, H. Grabner, and L. Van Gool
In 
Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010

Videos:
Supplementary Material (more see project web-page)

Related Work:
 Discrimination of locomotion direction at different speeds: A comparison between macaque monkeys and algorithms
F. Nater, J. Vangeneugden, H. Grabner, L. Van Gool, and R. Vogels
In Proceedings ECML/PKDD Workshop on Detection and Identiffcation of Rare Audiovisual Cues, 2010

trackingTrees
Tracker Trees for Unusual Event Detection
F. Nater, H. Grabner, T. Jaeggli, and L. Van Gool
In Proceedings ICCV’09 WS on Visual Surveillance, 2009

Videos:
see project web-page

Realted work:
Transferring activities: Updating human behavior analysis
F. Nater, T. Tommasi, H. Grabner, L. Van Gool, and B. Caputo. 
In Proceeding ICCV’11 WS on Visual Surveillance, 2011

nessietimeSquare

Hunting Nessie: Real Time Abnormality Detection from Webcams
M. Breitenstein, H. Grabner, and L. Van Gool
In Proceedings ICCV’09 WS on Visual Surveillance, 2009

Realted work:
Mining from Large Image Sets
L. Van Gool, M. Breitenstein, S. Gammeter, H. Grabner, and T. Quack
ACM Int. Conference on Image and Video Retrieval (CIVR) (Invited Paper), 2009

Real-time Detection of Unusual Regions in Image Streams
R. Schuster, R. Mörzinger, W. Haas, H. Grabner, and L. Van Gool
In Proceedings ACM 
Int. Conference on Multimedia – Video Program, 2010
Object Detection

Efficient 3D Object Detection using Multiple Pose-Specific Classifiers
M. Villamizar, H. Grabner, F. Moreno-Noguer, J. Andrade-Cetto, L. Van Gool, and A. Sanfeliu
In Proceedings British Machine Vision Conference (BMVC), 2011

  

On-line boosting-based car detection from arial images
H. Grabner, T.T. Nguyen, B. Gruber, and H. Bischof.
ISPRS Journal of  Photogrammetry & Remote Sensing, 63(3):382-396, 2008

Scene Understanding
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sutsu3sutsu4
Segmentation-Based Urban Traffic Scene Understanding
A. Ess, T. Müller, H. Grabner, and L. Van Gool
In Proceedings British Machine Vision Conference (BMVC), 2009

On-line Learning
Training Sequential On-line Boosing Classifier for Visual Tracking
H. Grabner, J. Sochman, H. Bischof, and J. Matas
In Proceedings International Conference on Pattern Recognition (ICPR), 2008, Talk
overview On-line Boosting and Vision
H. Grabner, and H. Bischof
In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 1, pages 260-267, 2006, Poster

click here for all publications

 

  Projects

Scovis Logo Self-configurable COgnitive VIdeo Supervision – Scovis
European Community’s Seventh Framework Programme FP7 ICT

Source:

http://www.vision.ee.ethz.ch/~hegrabne/#Teaching

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