Title
A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild".
Abstract
Recently, technologies such as face detection, facial landmark localisation and face recognition and verification have matured enough to provide effective and efficient solutions for imagery captured under arbitrary conditions (referred to as “in-the-wild”). This is partially attributed to the fact that comprehensive “in-the-wild” benchmarks have been developed for face detection, landmark localisation and recognition/verification. A very important technology that has not been thoroughly evaluated yet is deformable face tracking “in-the-wild”. Until now, the performance has mainly been assessed qualitatively by visually assessing the result of a deformable face tracking technology on short videos. In this paper, we perform the first, to the best of our knowledge, thorough evaluation of state-of-the-art deformable face tracking pipelines using the recently introduced 300 VW benchmark. We evaluate many different architectures focusing mainly on the task of on-line deformable face tracking. In particular, we compare the following general strategies: (a) generic face detection plus generic facial landmark localisation, (b) generic model free tracking plus generic facial landmark localisation, as well as (c) hybrid approaches using state-of-the-art face detection, model free tracking and facial landmark localisation technologies. Our evaluation reveals future avenues for further research on the topic.
Year
DOI
Venue
2018
https://doi.org/10.1007/s11263-017-0999-5
International Journal of Computer Vision
Keywords
DocType
Volume
Deformable face tracking,Face detection,Model free tracking,Facial landmark localisation,Long-term tracking
Journal
abs/1603.06015
Issue
ISSN
Citations 
2-4
0920-5691
10
PageRank 
References 
Authors
0.43
139
5
Search Limit
100139
Name
Order
Citations
PageRank
Grigoris G. Chrysos11255.86
Epameinondas Antonakos21978.73
Patrick Snape31295.09
Akshay Asthana472925.02
Stefanos Zafeiriou53129150.99