Robust object tracking via multi-feature adaptive fusion based on stability: contrast analysis

Zhiyong Li; Shuang He; Mervat Hashem

doi:10.1007/s00371-014-1014-6

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Robust object tracking via multi-feature adaptive fusion based on stability: contrast analysis

Zhiyong Li Shuang He Mervat Hashem

Year: 2014 Journal: The Visual Computer Vol: 31 (10)Pages: 1319-1337 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-014-1014-6

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Keywords:

Artificial intelligence Computer vision Computer science Robustness (evolution) Video tracking Pattern recognition (psychology) Scale-invariant feature transform Clutter Histogram Feature (linguistics) Object detection Similarity measure Feature extraction Object (grammar) Radar

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Advanced Measurement and Detection Methods

Physical Sciences → Engineering → Electrical and Electronic Engineering

Robust object tracking via multi-feature adaptive fusion based on stability: contrast analysis

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