Multi-Scale, Multi-Object and Real-Time Face Detection and Head Pose Estimation Using Deep Neural Networks

2017 ◽  
Vol 12 (3) ◽  
pp. 313-321 ◽  
Author(s):  
Byungtae Ahn ◽  
◽  
Dong-Geol Choi ◽  
In So Kweon
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Face Detection ◽  
Pose Estimation ◽  
Deep Neural Networks ◽  
Head Pose Estimation ◽  
Head Pose ◽  
Multi Scale

scholarly journals TRFH: towards real-time face detection and head pose estimation

2021 ◽  
Author(s):  
Shicun Chen ◽  
Yong Zhang ◽  
Baocai Yin ◽  
Boyue Wang
Keyword(s):  
Real Time ◽  
Face Detection ◽  
Pose Estimation ◽  
Head Pose Estimation ◽  
Head Pose ◽  
Analysis Model ◽  
Time Performance ◽  
Face Features ◽  
Bounding Box ◽  
Face Detector

AbstractNowadays, face detection and head pose estimation have a lot of application such as face recognition, aiding in gaze estimation and modeling attention. For these two tasks, it is usually to design two different models. However, the head pose estimation model often depends on the region of interest (ROI) detected in advance, which means that a serial face detector is needed. Even the lightest face detector will slow down the whole forward inference time and cannot achieve real-time performance when detecting the head pose of multiple people. We can see that both face detection and head pose estimation need face features, so a shared face feature map can be used between them. In this paper, a multi-task learning model is proposed that can solve both problems simultaneously. We directly detect the location of the center point of the bounding box of face; at this location, we calculate the size of the bounding box of face and the head attitude. We evaluate our model’s performance on the AFLW. The proposed model has great competitiveness with the multi-stage face attribute analysis model, and our model can achieve real-time performance.

scholarly journals Attention Span Prediction using Head-pose Estimation with Deep Neural Networks

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Tripti Singh ◽  
Mohan Mohadikar ◽  
Shilpa Gite ◽  
Shruti Patil ◽  
Biswajeet Pradhan ◽  
...  
Keyword(s):  
Neural Networks ◽  
Pose Estimation ◽  
Deep Neural Networks ◽  
Head Pose Estimation ◽  
Head Pose ◽  
Attention Span

Toward Coordination Control of Multiple Fish-Like Robots: Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks

2021 ◽  
Vol 8 (12) ◽  
pp. 1964-1976
Author(s):  
Tianhao Zhang ◽  
Jiuhong Xiao ◽  
Liang Li ◽  
Chen Wang ◽  
Guangming Xie
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Pose Estimation ◽  
Deep Neural Networks ◽  
Coordination Control

scholarly journals Near Real-Time Three Axis Head Pose Estimation Without Training

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 64256-64265 ◽  
Author(s):  
Andrea F. Abate ◽  
Paola Barra ◽  
Carmen Bisogni ◽  
Michele Nappi ◽  
Stefano Ricciardi
Keyword(s):  
Real Time ◽  
Pose Estimation ◽  
Head Pose Estimation ◽  
Head Pose

Robust real-time 3D head pose estimation from range data

2005 ◽  
Vol 38 (8) ◽  
pp. 1153-1165 ◽  
Author(s):  
Sotiris Malassiotis ◽  
Michael G. Strintzis
Keyword(s):  
Real Time ◽  
Pose Estimation ◽  
Head Pose Estimation ◽  
Range Data ◽  
Head Pose ◽  
3D Head Pose Estimation

Enhanced real-time head pose estimation system for mobile device

2014 ◽  
Vol 21 (3) ◽  
pp. 281-293 ◽  
Author(s):  
Euclides N. Arcoverde Neto ◽  
Rafael M. Duarte ◽  
Rafael M. Barreto ◽  
João Paulo Magalhães ◽  
Carlos C.M. Bastos ◽  
...  
Keyword(s):  
Real Time ◽  
Pose Estimation ◽  
Mobile Device ◽  
Head Pose Estimation ◽  
Head Pose ◽  
Estimation System
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