Robust Tracking Based on Multi-feature Fusion

Zhuma YiZheng; Zhenhong Shang; Hui Liu; Runxin Li

doi:10.1007/978-3-030-00214-5_68

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Robust Tracking Based on Multi-feature Fusion

Zhuma YiZheng Zhenhong Shang Hui Liu Runxin Li

Year: 2018 Advances in intelligent systems and computing Pages: 535-543 Publisher: Springer Nature

DOI: 10.1007/978-3-030-00214-5_68

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Keywords:

Artificial intelligence Computer vision Computer science Tracking (education) Feature (linguistics) Frame (networking) Histogram Position (finance) Pixel Pattern recognition (psychology) Filter (signal processing) Fusion Image (mathematics)

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Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Measurement and Detection Methods

Physical Sciences → Engineering → Electrical and Electronic Engineering

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Robust Tracking Based on Multi-feature Fusion

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