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Keywords
(5)
Empirical Analysis
Experimental Analysis
Face Recognition
Image Quality
Perforation
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Experimental Analysis of Face Recognition on Still and CCTV Images
Experimental Analysis of Face Recognition on Still and CCTV Images,10.1109/AVSS.2008.15,Shaokang Chen,Erik Berglund,Abbas Bigdeli,Conrad Sanderson,Bri
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Experimental Analysis of Face Recognition on Still and CCTV Images
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Citations: 2
)
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Shaokang Chen
,
Erik Berglund
,
Abbas Bigdeli
,
Conrad Sanderson
,
Brian C. Lovell
Although automatic identity inference based on faces has shown success when using high quality images, for CCTV based images it is hard to attain similar levels of perfor- mance. Furthermore, compared to recognition based on static images, relatively few studies have been done for video based face recognition. In this paper, we present an
empirical analysis
and comparison of
face recognition
us- ing high quality and CCTV images in several important as- pects:
image quality
(including resolution, noise, blurring and interlacing) as well as geometric transformations (such as translations, rotations and scale changes). The results show that holistic
face recognition
can be tolerant to
image quality
degradation but can also be highly influenced by ge- ometric transformations. In addition, we show that camera intrinsics have much influence - when using different cam- eras for collecting gallery and probe images the recogni- tion rate is considerably reduced. We also show that the classification performance can be considerably improved by straightforward averaging of consecutive face images from a CCTV video sequence.
Conference:
Advanced Video and Signal Based Surveillance - AVSS
, pp. 317-324, 2008
DOI:
10.1109/AVSS.2008.15
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Citation Context
(2)
...Recognizing how important this topic is, researchers are performing more and more experiments using CCTV (Closed Circuit Television) images, exploring performance of both humans [10] and computers [
4
]...
...Other databases (like FERET or CMU PIE) can be used for training, similar to the setup from [
4
]...
Mislav Grgic
,
et al.
SCface - surveillance cameras face database
...Recent research on processing surveillance images [1,
2
] has provided the ability to track objects and human faces on video streams...
...Automatic object tagging for CCTV surveillance has been the subject of research [
1-3
, 9, 10]...
Yan Yang
,
et al.
Content-Based Video Retrieval (CBVR) System for CCTV Surveillance Vide...
References
(21)
Face Recognition: The Problem of Compensating for Changes in Illumination Direction
(
Citations: 441
)
Yael Adini
,
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,
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Journal:
IEEE Transactions on Pattern Analysis and Machine Intelligence - PAMI
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Lambertian Reflectance and Linear Subspaces
(
Citations: 523
)
Ronen Basri
,
David W. Jacobs
Conference:
International Conference on Computer Vision - ICCV
, pp. 383-390, 2001
Illumination and Expression Invariant Face Recognition with One Sample Image
(
Citations: 18
)
Shaokang Chen
,
Brian C. Lovell
Conference:
International Conference on Pattern Recognition - ICPR
, vol. 1, pp. 300-303, 2004
View-Based Active Appearance Models
(
Citations: 180
)
Timothy F. Cootes
,
Kevin N. Walker
,
Christopher J. Taylor
Conference:
IEEE International Conference on Automatic Face and Gesture Recognition - FGR
, pp. 227-232, 2000
Virtual face image generation for illumination and pose insensitive face recognition
(
Citations: 15
)
Wen Gao
,
Shiguang Shan
,
Xiujuan Chai
,
Xiaowei Fu
Conference:
International Conference on Multimedia Computing and Systems/International Conference on Multimedia and Expo - ICME(ICMCS)
, vol. 4, pp. IV-776-9 vol., 2003
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Citations
(2)
SCface - surveillance cameras face database
(
Citations: 5
)
Mislav Grgic
,
Kresimir Delac
,
Sonja Grgic
Journal:
Multimedia Tools and Applications - MTA
, vol. 51, no. 3, pp. 863-879, 2011
Content-Based Video Retrieval (CBVR) System for CCTV Surveillance Videos
Yan Yang
,
Brian C. Lovell
,
Farhad Dadgostar
Conference:
Digital Image Computing: Techniques and Applications - DICTA
, pp. 183-187, 2009