Book ChapterDOI
Tracking of Occluded Vehicles in Traffic Scenes
Thomas Frank,Michael Haag,Henner Kollnig,Hans-Hellmut Nagel,Hans-Hellmut Nagel +4 more
- pp 485-494
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TLDR
This contribution demonstrates how the image sequence analysis system can be improved by an explicit model-based recognition of 3D occlusion situations by obtaining results obtained from real world image sequences recording gas station traffic as well as inner-city intersection traffic.Abstract:
Vehicles on downtown roads can be occluded by other vehicles or by stationary scene components such as traffic lights or road signs. After having recorded such a scene by a video camera, we noticed that the occlusion may disturb the detection and tracking of vehicles by previous versions of our computer vision approach. In this contribution we demonstrate how our image sequence analysis system can be improved by an explicit model-based recognition of 3D occlusion situations. Results obtained from real world image sequences recording gas station traffic as well as inner-city intersection traffic are presented.read more
Citations
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Efficient region tracking with parametric models of geometry and illumination
TL;DR: This work develops a computationally efficient method for handling the geometric distortions produced by changes in pose and combines geometry and illumination into an algorithm that tracks large image regions using no more computation than would be required to track with no accommodation for illumination changes.
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Automatic text detection and tracking in digital video
TL;DR: This work presents algorithms for detecting and tracking text in digital video that implements a scale-space feature extractor that feeds an artificial neural processor to detect text blocks.
Journal ArticleDOI
Combination of Edge Element and Optical Flow Estimates for 3D-Model-Based Vehicle Tracking in Traffic Image Sequences
Michael Haag,Hans-Hellmut Nagel +1 more
TL;DR: The results indicate that model-based tracking of rigid objects in monocular image sequences may have to be reappraised more thoroughly than anticipated during the recent past.
Journal ArticleDOI
3-D model-based vehicle tracking
TL;DR: An efficient pose refinement method to refine the vehicle's pose parameters is provided and an improved EKF is also proposed to track and to predict vehicle motion with a precise kinematics model.
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Disease detection of Cercospora Leaf Spot in sugar beet by robust template matching
TL;DR: The robust template matching method of OCM is introduced in this paper to not only realize continuous and site-specific observations of disease progress, but also to demonstrate its excellent robustness for non-rigid plant object searching in scene illumination, translation, slight rotation, and occlusion changes.
References
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Journal ArticleDOI
Model-based object tracking in monocular image sequences of road traffic scenes
TL;DR: An elaborate combination of various techniques has enabled us to track vehicles under complex illumination conditions and over long monocular image sequences, and open problems as well as future work are outlined.
Book ChapterDOI
Robust Multiple Car Tracking with Occlusion Reasoning
TL;DR: This work proposes a new approach for tracking vehicles in road traffic scenes using an explicit occlusion reasoning step and employs a contour tracker based on intensity and motion boundaries to obtain robust motion estimates and trajectories for vehicles even in the case of occlusions.
Journal ArticleDOI
Motion-based recognition a survey
Claudette Cédras,Mubarak Shah +1 more
TL;DR: A review of recent developments in the computer vision aspect of motionbased recognition and several methods for the recognition of objects and motions, including cyclic motion detection and recognition, lipreading, hand gestures interpretation, motion verb recognition and temporal textures classification are reported.
Journal ArticleDOI
Region-based tracking using affine motion models in long image sequences
TL;DR: A pursuit algorithm has been designed that directly tracks the region representing the projection of a moving object in the image, rather than relying on the set of trajectories of individual points or segments, which makes it possible to predict the position of the target in the next frame.
Journal ArticleDOI
Contour extraction of moving objects in complex outdoor scenes
TL;DR: The results demonstrate that integration of multiple cues obtained from relatively simple image analysis techniques leads to a robust extraction of the object of interest in complex outdoor scenes.