Multiple face tracking method in the wild using color histogram features

2017 ◽  
Author(s):  
Hyuk Jin Kwon ◽  
Seok Hee Lee ◽  
Sepidehsadat Hosseini ◽  
Jaewon Moon ◽  
Hyung Il Koo ◽  
...  
Keyword(s):  
Face Tracking ◽  
Color Histogram ◽  
Tracking Method ◽  
In The Wild

scholarly journals A Comprehensive Performance Evaluation of Deformable Face Tracking “In-the-Wild”

2017 ◽  
Vol 126 (2-4) ◽  
pp. 198-232 ◽  
Author(s):  
Grigorios G. Chrysos ◽  
Epameinondas Antonakos ◽  
Patrick Snape ◽  
Akshay Asthana ◽  
Stefanos Zafeiriou
Keyword(s):  
Performance Evaluation ◽  
Face Tracking ◽  
Comprehensive Performance ◽  
In The Wild ◽  
Deformable Face Tracking

A Face Tracking Method Based on Camshift and SCKF in Rapid Moving Process

2014 ◽  
Vol 668-669 ◽  
pp. 1025-1028
Author(s):  
Fu Cheng Cao ◽  
Xiao Xue Xing
Keyword(s):  
Nonlinear Effect ◽  
Face Tracking ◽  
Uniform Motion ◽  
Square Root ◽  
Robust Tracking ◽  
Tracking Accuracy ◽  
Tracking Method ◽  
Camshift Algorithm ◽  
Moving Process ◽  
Localization And Tracking

Aiming at the problem of face tracking under rapid moving process, a fast and robust tracking method is proposed. The possible position of face detected by the Camshift algorithm in the next frame is predicted by the square-root cubature Kalman filte (SCKF). Then, the localization and tracking of face are got frames by frames. The experimental results show that: the use of SCKF to solve the nonlinear effect caused by non-uniform motion of face and overcome the target loss problem of the linear Kalman algorithm. The proposed method greatly improves the tracking accuracy of face in the process of rapid movement.

Real-time generic face tracking in the wild with CUDA

2014 ◽  
Author(s):  
Shiyang Cheng ◽  
Akshay Asthana ◽  
Stefanos Zafeiriou ◽  
Jie Shen ◽  
Maja Pantic
Keyword(s):  
Real Time ◽  
Face Tracking ◽  
In The Wild
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