Improved mean shift integrating texture and color features for robust real time object tracking

Fouad Bousetouane; Lynda Dib; Hichem Snoussi

doi:10.1007/s00371-012-0677-0

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Improved mean shift integrating texture and color features for robust real time object tracking

Fouad Bousetouane Lynda Dib Hichem Snoussi

Year: 2012 Journal: The Visual Computer Vol: 29 (3)Pages: 155-170 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-012-0677-0

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Keywords:

Mean-shift Artificial intelligence Computer vision Computer science Tracking (education) Clutter Video tracking Pattern recognition (psychology) Object (grammar) Radar

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3.87

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0.94

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Citation History

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Improved mean shift integrating texture and color features for robust real time object tracking

Metrics

Citation History

Topics

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