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Henner Kollnig

dblp:88/2130 · DBLP profile ↗
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8ranked-venue papers
4as first author
0since 2021 · last 1997
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 8 · 4 first-authorGraphics, computer vision, multimedia, augmented reality and games · 6 · 3 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
5 papers
3D vision · 48% Video understanding and tracking · 40% Face, body and person analysis · 8%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 14 heaviest of 14, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
pose estimation
0.021997
3D Pose Estimation by Directly Matching Polyhedral Models to Gray Value Gradients · Int. J. Comput. Vis. 1997
3D Pose Estimation by Fitting Image Gradients Directly to Polyhedral Models · ICCV 1995
Computer vision › 3D vision › pose estimation
model-based pose estimation
0.011997
3D Pose Estimation by Directly Matching Polyhedral Models to Gray Value Gradients · Int. J. Comput. Vis. 1997
Computer vision › 3D vision
motion estimation
0.011996
Matching Object Models to Segments from an Optical Flow Field · ECCV (2) 1996
Computer vision › Video understanding and tracking
multi-object tracking
0.011996
Tracking of Occluded Vehicles in Traffic Scenes · ECCV (2) 1996
Computer vision › Video understanding and tracking › object tracking › robust tracking
occlusion-robust tracking
0.011996
Tracking of Occluded Vehicles in Traffic Scenes · ECCV (2) 1996
Computer vision › 3D vision › motion estimation
optical flow
0.011996
Matching Object Models to Segments from an Optical Flow Field · ECCV (2) 1996
Computer vision › Video understanding and tracking › object tracking
vehicle tracking
0.011996
Tracking of Occluded Vehicles in Traffic Scenes · ECCV (2) 1996
Computer vision › Face, body and person analysis › human pose estimation
3d pose estimation
0.011995
3D Pose Estimation by Fitting Image Gradients Directly to Polyhedral Models · ICCV 1995
Computer vision › Video understanding and tracking
object tracking
0.011995
3D Pose Estimation by Fitting Image Gradients Directly to Polyhedral Models · ICCV 1995
Computer vision › Video understanding and tracking
motion analysis
0.011994
Association of Motion Verbs with Vehicle Movements Extracted from Dense Optical Flow Fields · ECCV (2) 1994
Image and video processing
motion analysis
0.011994
Motion Boundary Detection in Image Sequences by Local Stochastic Tests · ECCV (2) 1994
Computer vision › 3D vision › object matching
model-based matching
0.011996
Matching Object Models to Segments from an Optical Flow Field · ECCV (2) 1996
Robotics › Autonomous driving › perception › environment perception
perception for self-driving vehicles
0.011995
3D Pose Estimation by Fitting Image Gradients Directly to Polyhedral Models · ICCV 1995
Robotics › Autonomous driving
traffic scene understanding
0.011994
Association of Motion Verbs with Vehicle Movements Extracted from Dense Optical Flow Fields · ECCV (2) 1994

Methods — techniques the papers use, named apart from their topics

polyhedral model matching · 0.0optical flow · 0.0occlusion handling · 0.0object model · 0.0polyhedral model fitting · 0.0image gradient fitting · 0.0local stochastic test · 0.0dense optical flow · 0.0
YearPublicationVenuePosition
1997 Influence of an Explicitly Modelled 3D Scene on the Tracking of Partially Occluded Vehicles
Michael Haag, Thomas Frank, Henner Kollnig, Hans-Hellmut Nagel
Comput. Vis. Image Underst.3
1997 3D Pose Estimation by Directly Matching Polyhedral Models to Gray Value Gradients
Henner Kollnig, Hans-Hellmut Nagel
Int. J. Comput. Vis.1
1996 Tracking of Occluded Vehicles in Traffic Scenes
Thomas Frank, Michael Haag, Henner Kollnig, Hans-Hellmut Nagel
ECCV (2)3
1996 Matching Object Models to Segments from an Optical Flow Field
Henner Kollnig, Hans-Hellmut Nagel
ECCV (2)1
1995 Evaluation of Image Sequences from Outdoor Scenes: Selected Problems and Solutions
Hans-Hellmut Nagel, Henner Kollnig
ACCV2
1995 3D Pose Estimation by Fitting Image Gradients Directly to Polyhedral Models
abstract
Addresses the problem of pose estimation and tracking of vehicles in image sequences from traffic scenes recorded by a stationary camera. In a new algorithm, the vehicle pose is estimated by directly fitting image gradients to polyhedral vehicle models without an edge segment extraction process. The new approach is significantly more robust than approaches that rely on feature extraction because the new approach exploits more information from the image data. We can track vehicles that are partially occluded by textured objects, e.g. foliage, where classical approaches based on edge segment extraction fail. Results from various experiments with real-world traffic scenes are presented.>
Henner Kollnig, Hans-Hellmut Nagel
ICCV1
1994 Association of Motion Verbs with Vehicle Movements Extracted from Dense Optical Flow Fields
Henner Kollnig, Hans-Hellmut Nagel, Michael Otte
ECCV (2)1
1994 Motion Boundary Detection in Image Sequences by Local Stochastic Tests
Hans-Hellmut Nagel, Gudrun Socher, Henner Kollnig, Michael Otte
ECCV (2)3