FH-YOLOv4 with Constrained Aspect Ratio Loss for Video Face Detection and Public Safety

Yue Wang, Liang Hong, Dewen Gu, Pingping Fu and Wei Zhang

Discrete Dynamics in Nature and Society, 2022, vol. 2022, 1-10

Abstract: Video face detection is a crucial first step in many facial recognition and face analysis systems. It should serve postprocessing steps as much as possible while satisfying high-accuracy real-time detection. In this paper, we first introduce the constrained aspect ratio loss (CARLoss) for better facial boxes regression and incorporate it into the modified FH-YOLOv4, then the IoU Tracker-based video face image deduplication algorithm is proposed on the detection level. Extensive experiments and comparative tests show the effectiveness of our method.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/ddns/2022/8355174.pdf (application/pdf)
http://downloads.hindawi.com/journals/ddns/2022/8355174.xml (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:8355174

DOI: 10.1155/2022/8355174

Access Statistics for this article

More articles in Discrete Dynamics in Nature and Society from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().