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| IAS-group | Research | Perception | Image Sequence Analysis | ||
(See ISLA for the new IAS website. Most maintenance activities on this old website have stopped.)Image Sequence AnalysisObserving and analyzing moving objects is the goal of Image Sequence Analysis. Motion estimationThe extraction of image motion, the 2D motion vectors a.k.a. optical flow, from a black & white image sequence is reasonably understood. However, for color images it is not clear how to handle the multi-channel character of the color bands. In this project we further investige the fusion of feature matching techniques and optical flow techniques in color space.Structure from motionFrom the image motion a reconstruction of the relative depth to the environment is generally possible. We have found the affine model to be particulary feasible for structure from motion. Our extension is based on taking the temporal dynamics in the optical flow into account.Motion segmentationMotion based segmentation is the extraction of 'objects' on the basis of their motion. Grouping of similar regions with similar motion is the basis for motion segmentation. We investigate the fusion of color edges and motion edges.Motion recognitionMotion recognition is the classification of motion type. This implies a model and a classifier. Recognition is based on both kinematic and dynamic models. Typical techniques for classification of sequences are Neural Networks and Hidden Markov Models.Observing human and animal motionApplications such as
In this project we focus on this area of human detection, localization, tracking, gesture and gait recognition. People
ReferencesDev97a "Confidence Measures for Image Motion Estimation", IROS 97.Dev97b "Visual Navigation on the temporal development of the Optical Flow", RWC 97. Dev98 "Where are you driving to? Heading direction from optical flow", ICRA 98. SponsorsThis project is sponsored by the Ministry of Economic Affairs, as an IOP. Partners in this project are Noldus Information BV and Eagle Vision. |
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