Results 81 to 90 of about 429,065 (209)

Identifying person re-occurrences for personal photo management applications [PDF]

, 2006
Automatic identification of "who" is present in individual digital images within a photo management system using only content-based analysis is an extremely difficult problem.
Cooray, Saman H., O'Hare, Neil, O\u27Hare, Neil, N. O'Hare, Jones, Gareth J.F., N.E. O'Connor, A.F. Smeaton, O'Connor, Noel E., Gurrin, Cathal, Smeaton, Alan F., O\u27Connor, Noel E., C. Gurrin, G.J.F. Jones, S. Cooray   +13 more
core   +1 more source

An Experimental Study of Facial Recognition Performance for Real-Time UAV Surveillance in Urban Environments

Pakistan Journal of Engineering Technology & Science
In today’s era, facial recognition is common in every aspect of life whether in smartphones, security, attendance management, healthcare, and law enforcement.
Muhammad Shafiq, Beenish Ayesha Akram, Samar Raza Talpur, Leezna Saleem   +3 more
doaj   +1 more source

On using gait to enhance face extraction for visual surveillance

, 2012
Visual surveillance finds increasing deployment for monitoring urban environments. Operators need to be able to determine identity from surveillance images and often use face recognition for this purpose.
Jung, Sung Uk
core  

Face detection method based on skin color segmentation and eyes verification

, 2009
Due to the existence of complicated illumination, background and variations of pose, fast and robust face detection is constrainted in many applications.
Xu F(徐方), Qu DK(曲道奎), Yihu Yi, Yi YH(易轶虎), Daokui Qu, Fang Xu   +5 more
core   +1 more source

A Hardware Implementation of Face Detection

, 2007
Face detection is the process of locating the position where faces are present in an image.Currently, software-based face detection is hard to support real-time video streams in an embedded processor.
林恩楷, Lin, En-Kai
core  

Lightweight and Real-Time Driver Fatigue Detection Based on MG-YOLOv8 with Facial Multi-Feature Fusion

Journal of Imaging
Driver fatigue is a primary factor in traffic accidents and poses a serious threat to road safety. To address this issue, this paper proposes a multi-feature fusion fatigue detection method based on an improved YOLOv8 model.
Chengming Chen, Xinyue Liu, Meng Zhou, Zhijian Li, Zhanqi Du, Yandan Lin   +5 more
doaj   +1 more source

Face detection based on a human attention guided multi-scale model. [PDF]

Biol Cybern, 2023
Cadoni M, Lagorio A, Grosso E.
europepmc   +1 more source

Multi-Scale, Multi-Feature Vector Flow Active Contours for Automatic Multiple-Face Detection

To automatically detect faces in real-world images presenting challenges such as complex background and multiple foregrounds, we propose a new method which is based on parametric active contours and which does not require any supervision, model nor ...
Olszewska, Joanna Isabelle
core  

FPGA implementation of an embedded face detection system based on LEON3 [PDF]

, 2012
This paper presents an FPGA face detection embedded system. In order achieve acceleration in the face detection process a hardware-software codesign technique is proposed. The paper describes the face detection acceleration mechanism.
Acasandrei, Laurentiu, Barriga Barros, Ángel   +1 more
core  

Sheep Face Detection Based on an Improved RetinaFace Algorithm. [PDF]

Animals (Basel), 2023
Hao J, Zhang H, Han Y, Wu J, Zhou L, Luo Z, Du Y.   +6 more
europepmc   +1 more source