Image Stabilization by Features Tracking
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Differential Invariants for Color Images
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Detection and classification of vehicles
IEEE Transactions on Intelligent Transportation Systems
Detecting moving objects, ghosts, and shadows in video streams
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The aim of the study was to develop methods for moving vehicle tracking in aerial image sequences taken over urban areas. The first image of the sequence was manually registered to a map. Corner points were extracted semi-automatically, then tracked along the sequence, to enable video stabilisation by homography estimation. Moving objects were detected by means of adaptive background subtraction. The vehicles were identified among many stabilisation artifacts and tracked, with a simple tracker based on spatiotemporal connected components analysis. While the techniques used were basic, the results turned out to be encouraging, and several improvements are under scrutiny.