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Depth and appearance for mobile scene analysis
(2007)2007 IEEE 11th International Conference on Computer VisionIn this paper, we address the challenging problem of simultaneous pedestrian detection and ground-plane estimation from video while walking through a busy pedestrian zone. Our proposed system integrates robust stereo depth cues, ground-plane estimation, and appearance-based object detection in a principled fashion using a graphical model. Object-object occlusions lead to complex interactions in this model that make an exact solution ...Conference Paper -
Efficient mining of frequent and distinctive feature configurations
(2007)2007 IEEE 11th International Conference on Computer VisionWe present a novel approach to automatically find spatial configurations of local features occurring frequently on instances of a given object class, and rarely on the background. The approach is based on computationally efficient data mining techniques and can find frequent configurations among tens of thousands of candidates within seconds. Based on the mined configurations we develop a method to select features which have high probability ...Conference Paper -
Depth-From-Recognition: Inferring Meta-data by Cognitive Feedback
(2007)2007 IEEE 11th International Conference on Computer VisionThanks to recent progress in category-level object recognition, we have now come to a point where these techniques have gained sufficient maturity and accuracy to succesfully feed back their output to other processes. This is what we refer to as cognitive feedback. In this paper, we study one particular form of cognitive feedback, where the ability to recognize objects of a given category is exploited to infer meta-data such as depth cues, ...Conference Paper -
Coupled detection and trajectory estimation for multi-object tracking
(2007)2007 IEEE 11th International Conference on Computer VisionWe present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. It is formulated in a hypothesis selection framework and builds upon a state-of-the-art pedestrian detector. At each time instant, it searches for the globally optimal set of spacetime trajectories which provides the best explanation for the current image and for all evidence collected ...Conference Paper -
3D challenges and a non-in-depth overview of recent progress
(2007)Proceedings of th Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007)Conference Paper -
Dynamic 3D Scene Analysis from a Moving Vehicle
(2007)2007 IEEE Conference on Computer Vision and Pattern RecognitionIn this paper, we present a system that integrates fully automatic scene geometry estimation, 2D object detection, 3D localization, trajectory estimation, and tracking for dynamic scene interpretation from a moving vehicle. Our sole input are two video streams from a calibrated stereo rig on top of a car. From these streams, we estimate structure-from-motion (SfM) and scene geometry in real-time. In parallel, we perform multi-view/multi-category ...Conference Paper -
Fast 3D scanning with automatic motion compensation
(2007)2007 IEEE Conference on Computer Vision and Pattern RecognitionWe present a novel 3D scanning system combining stereo and active illumination based on phase-shift for robust and accurate scene reconstruction. Stereo overcomes the traditional phase discontinuity problem and allows for the reconstruction of complex scenes containing multiple objects. Due to the sequential recording of three patterns, motion will introduce artifacts in the reconstruction. We develop a closed-form expression for the ...Conference Paper