Work

Background Extraction Method Based on ESO-LFFDL

Year: 2024

Type: conference-paper

Source: International Conference on New Trends in Computational Intelligence (NTCI)

DOI: 10.1109/ntci64025.2024.10776507

Authors: Pengxiang Sun, Ronghu Chi

Institution: Qingdao University of Science and Technology

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G8538446065

OpenAlex ID: W4405306121

FWCI:

Cites: 13

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Related to: 10