Object Tracking and Shoslif Tree Based Classification Using Shape and Color Features

Lucio Marcenaro; Franco Oberti; Carlo S. Regazzoni

doi:10.1007/978-1-4615-0913-4_10

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Object Tracking and Shoslif Tree Based Classification Using Shape and Color Features

Lucio Marcenaro Franco Oberti Carlo S. Regazzoni

Year: 2002 Pages: 123-134

DOI: 10.1007/978-1-4615-0913-4_10

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Keywords:

Artificial intelligence Computer science Computer vision Object (grammar) Pattern recognition (psychology) Tree (set theory) Tracking (education) Video tracking Decision tree Representation (politics) Mathematics

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Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Object Tracking and Shoslif Tree Based Classification Using Shape and Color Features

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