Generalized gradient vector flow external forces for active contours
Signal Processing - Special issue on deformable models and techniques for image and signal processing
Elements of Photogrammetry(with Applications in GIS)
Elements of Photogrammetry(with Applications in GIS)
Matching Shape Sequences in Video with Applications in Human Movement Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object segmentation in videos from moving camera with MRFs on color and motion features
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Unsupervised segmentation based on robust estimation and color active contour models
IEEE Transactions on Information Technology in Biomedicine
Tracking video objects in cluttered background
IEEE Transactions on Circuits and Systems for Video Technology
Video object segmentation and tracking using ψ-learning classification
IEEE Transactions on Circuits and Systems for Video Technology
Sparse basis selection: new results and application to adaptive prediction of video source traffic
IEEE Transactions on Neural Networks
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Video images have long been used in tracking a target. Most of these studies have focused on tracking the moving target with a motionless video camera. Yet, relatively few studies have been conducted on target tracking from a moving video camera. In addition, the tracking of a moving target from one single video camera is inherently unable to provide the positioning information of the target in real space. This study proposes a three-stage approach with the concept of segmentation and photogrammetry to track and position the target on the video sequence acquired from a moving video camera. In the first stage, both the color segmentation technique and ACM (Active Contour Model) are used to separate the target from the background. In the second stage, an area-based matching approach is employed to track the feature points of the target on the video sequence. In the final stage, by integrating the video camera, GPS, digital compass and tracking results, the ground position of the target can be calculated using the photogrammetric techniques.