Home > Search Results: keywords:"Object recognition, machine learning, SIFT, SVM, Matlab, motion detection"
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National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
Passive optical detection and classification of flying objects
 Mošková, Andrea ; Vlachová Hutová, Eliška
The article presents our solution for the classification of moving flying objects in a video sequence captured by a static camera. The tool uses the extraction of scale and rotation invariant SIFT features, which allow the multi-class SVM to classify the examined object into one of the considered classes: ‘bird’, ‘plane’ or ‘negative’. The most successful of our tested models achieved accuracy of over 90% and their recall and precision for each class reached values above 90%.
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