An object tracking method based on Mean Shift algorithm with HSV color space and texture features

Jinhang Liu; Xian Zhong

doi:10.1007/s10586-018-1818-7

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An object tracking method based on Mean Shift algorithm with HSV color space and texture features

Jinhang Liu Xian Zhong

Year: 2018 Journal: Cluster Computing Vol: 22 (S3)Pages: 6079-6090 Publisher: Springer Science+Business Media

DOI: 10.1007/s10586-018-1818-7

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Keywords:

Mean-shift Computer science Algorithm HSL and HSV Histogram Tracking (education) Cluster analysis Artificial intelligence Video tracking Feature (linguistics) Color space Color histogram Object (grammar) Pattern recognition (psychology) Image (mathematics) Color image Image processing

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

An object tracking method based on Mean Shift algorithm with HSV color space and texture features

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