Attention-based Efficient Lightweight Model for Accurate Real-Time Face Verification on Embedded Device

2021 ◽  
Author(s):  
Dongmei Wei ◽  
Xingjun Wu ◽  
Guoqiang Bai ◽  
Linlin Su ◽  
Sufen Xu
Keyword(s):  
Real Time ◽  
Face Verification ◽  
Embedded Device

scholarly journals Advanced Real-Time Dynamic Programming in the Polygonal Approximation of ECG Signals for a Lightweight Embedded Device

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 162850-162861 ◽  
Author(s):  
Seungmin Lee ◽  
Yoosoo Jeong ◽  
Junho Kwak ◽  
Daejin Park ◽  
Kil Houm Park
Keyword(s):  
Dynamic Programming ◽  
Real Time ◽  
Polygonal Approximation ◽  
Time Dynamic ◽  
Ecg Signals ◽  
Embedded Device

scholarly journals A Multistage Procedure of Mobile Vehicle Acoustic Identification for Single-Sensor Embedded Device

2013 ◽  
Vol 59 (2) ◽  
pp. 151-160 ◽  
Author(s):  
Sergei Astapov ◽  
Andri Riid
Keyword(s):  
Real Time ◽  
Audio Signals ◽  
Event Identification ◽  
Embedded Device ◽  
Mobile Vehicle ◽  
Vehicle Identification ◽  
Time Operation ◽  
Real Time Operation ◽  
Single Sensor ◽  
Acoustic Identification

Abstract Mobile vehicle identification has a wide application field for both civilian and military uses. Vehicle identification may be achieved by incorporating single or multiple sensor solutions and through data fusion. This paper considers a single-sensor multistage hierarchical algorithm of acoustic signal analysis and pattern recognition for the identification of mobile vehicles in an open environment. The algorithm applies several standalone techniques to enable complex decision-making during event identification. Computationally inexpensive procedures are specifically chosen in order to provide real-time operation capability. The algorithm is tested on pre-recorded audio signals of civilian vehicles passing the measurement point and shows promising classification accuracy. Implementation on a specific embedded device is also presented and the capability of real-time operation on this device is demonstrated.

Real-Time Face Verification for Mobile Platforms

2008 ◽  
pp. 823-832 ◽  
Author(s):  
Sung-Uk Jung ◽  
Yun-Su Chung ◽  
Jang-Hee Yoo ◽  
Ki-Young Moon
Keyword(s):  
Real Time ◽  
Face Verification ◽  
Mobile Platforms

MULTIPLE-PERSON TRACKING SYSTEM FOR CONTENT ANALYSIS

2002 ◽  
Vol 16 (04) ◽  
pp. 447-462 ◽  
Author(s):  
JUN-WEI HSIEH ◽  
YEA-SHUAN HUANG
Keyword(s):  
Real Time ◽  
Tracking System ◽  
Color Constancy ◽  
Support Vector ◽  
Face Verification ◽  
Correlation Technique ◽  
Motion Information ◽  
Robust Tracking ◽  
Skin Model ◽  
Verification Algorithm

This paper presents a framework to track multiple persons in real-time. First, a method with real-time and adaptable capability is proposed to extract face-like regions based on skin, motion and silhouette features. Then, an adaptable skin model is used for each detected face to overcome the changes of the observed environment. After that, a two-stage face verification algorithm is proposed to quickly eliminate false faces based on face geometries and the SVM (Support Vector Machine) approach. In order to overcome the effect of lighting changes, during verification, a method of color constancy compensation is proposed. Then, a robust tracking scheme is applied to identify multiple persons based on a face-status table. With the table, the proposed system has powerful capabilities to track different persons at different statuses, which is quite important in face-related applications. Experimental results show that the proposed method is more robust and powerful than other traditional methods, which utilize only color, motion information, and the correlation technique.

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