Work

Utilization of deep convolutional and handcrafted features for object tracking

Year: 2020

Type: article

Source: Optik

DOI: 10.1016/j.ijleo.2020.164926

Authors: Mohammed Y. Abbass, Ki-Chul Kwon, Nam Kim, Safey A. Abdelwahab, Fathi E. Abd El-Samie, Ashraf A.M. Khalaf

Institutions: Egyptian Atomic Energy Authority, Chungbuk National University, Princess Nourah bint Abdulrahman University, Menoufia University, Minia University

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3025609326

FWCI: 0.389

Cites: 37

Cited by: 6

Related to: 10