Geometric computation for machine vision
Geometric computation for machine vision
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
A Unified Approach to Moving Object Detection in 2D and 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parametric Model Fitting: From Inlier Characterization to Outlier Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct incremental model-based image motion segmentation for video analysis
Signal Processing - Video segmentation for content-based processing manipulation
Robust real-time ground plane motion compensation from a moving vehicle
Machine Vision and Applications
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object detection using model based prediction and motion parallax
ECCV '90 Proceedings of the First European Conference on Computer Vision
Omni-Directional Structure from Motion
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
A General Approach for Egomotion Estimation with Omnidirectional Images
OMNIVIS '02 Proceedings of the Third Workshop on Omnidirectional Vision
Image Processing in Catadioptric Planes: Spatiotemporal Derivatives and Optical Flow Computation
OMNIVIS '02 Proceedings of the Third Workshop on Omnidirectional Vision
Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
Application of Planar Motion Segmentation for Scene Text Extraction
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Ego-Motion and Omnidirectional Cameras
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Video arrays for real-time tracking of person, head, and face in an intelligent room
Machine Vision and Applications - Special issue: Omnidirectional vision and its applications
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
A virtual potential field based coverage algorithm for directional networks
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Multimedia surveillance station for audio-visual objects tracking with mobile robot
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume I
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A mobile platform mounted with Omni-Directional Vision Sensor (ODVS) can be used to monitor large areas and detect interesting events such as independently moving persons and vehicles. To avoid false alarms due to extraneous features, the image motion induced by the moving platform should be compensated. This paper describes a formulation of parametric ego-motion compensation for an ODVS. Omni images give 360 degrees view of surroundings but undergo considerable image distortion. To account for these distortions, the parametric planar motion model is integrated with the transformations into omni image space. Prior knowledge of approximate camera calibration and vehicle speed are integrated with the estimation process using Bayesian approach. Iterative, coarse to fine, gradient based estimation is used to correct the motion parameters for vibrations and other inaccuracies in prior knowledge. Experiments with camera mounted on a mobile platform demonstrate successful detection of moving persons and vehicles.