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On robustness of camera identification algorithms
2020
Multimedia tools and applications
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We consider a state-of-theart algorithm for digital camera identification proposed in Lucas et al. ...
On the other hand, we show a method to bypass the camera identification with a just marginally more complex, yet not intuitive, method namely cropping the image on the edges and resizing to the original ...
In [37] a robust multi-classifier based on CNN was proposed. The main advantage of proposed method is that it is capable to perform identification of multiple camera models in one comparison. ...
doi:10.1007/s11042-020-09133-9
fatcat:avzsbuqxcra4zggffb76lk4r5e
Handling Occlusions for Robust Augmented Reality Systems
2010
EURASIP Journal on Image and Video Processing
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In this paper, a robust tracking algorithm based on coded fiducials is presented. ...
Our proposed real-time algorithm is tested with different camera viewpoints under various image conditions and shows to be accurate and robust. ...
Thereafter, we proposed an algorithm of feature points tracking based on object identification and pose computation. ...
doi:10.1155/2010/146123
fatcat:lonqocazanfexk33qxv2a4bsxq
PEOPLE IDENTIFICATION ACROSS AMBIENT CAMERA NETWORKS
[chapter]
2007
Information Sciences 2007
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This paper proposes a robust algorithm based on conditional random field (CRF) to improve people identification in an ambient camera network environment. ...
Experiments with a 23-camera network demonstrate that the proposed algorithm leverages the advantage of monitoring from multiple cameras and improves the accuracy of person identification. ...
This paper proposes a robust algorithm based on conditional random field (CRF) to improve person identification in an ambient camera network environment. ...
doi:10.1142/9789812709677_0214
fatcat:giqrntwgsfgrdbxisxqh7sekiy
Identification of Face across Random Motion Blur, Illumination and Pose
2016
International Journal of Computer Applications
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We 1st propose a non uniform blur-robust algorithmic program by creating use of constriction on the camera movement. The frame is then extended to handle illumination discrepancy by. ...
motion in hand-held cameras. ...
Capitalizing on this result, we primarily proposed a non-uniform motion blur-robust face identification algorithm NU-MOB. ...
doi:10.5120/ijca2016912032
fatcat:a4ljk2upfrch7ksw7rfwqqdtcy
A study of the robustness of PRNU-based camera identification
2009
Media Forensics and Security
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We study denoising, recompression, out-of-camera demosaicing. We measure the beneficial effect of JPEG block artifact removal on camera identification accuracy. ...
We investigate the robustness of PRNU-based camera identification in cases where the test images have been passed through common image processing operations. ...
algorithm used in camera identification. ...
doi:10.1117/12.814705
dblp:conf/mediaforensics/RosenfeldS09
fatcat:bfarakevtjdhxh53bl62w4bcw4
Versatile and Economical Acquisition Setup for Dorsa Palm Vein Authentication
2015
Procedia Computer Science
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Various biometrics were employed in many applications for security purposes, amongst palm vein biometrics is one of the best methods for unique identification of a person owing to the indestructible quality ...
The quality and performance of the newly acquired samples are tested with two different feature extraction methods namely Correlation filter and Speeded Up Robust Features (SURF) algorithm. ...
Background A large number of biometric identification systems exist based on different types of pattern recognition. ...
doi:10.1016/j.procs.2015.04.041
fatcat:3pwdbbxey5bkhh7b3dpvzcb4me
Robust camera pose estimation using 2d fiducials tracking for real-time augmented reality systems
2004
Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry - VRCAI '04
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To address these shortcomings we propose a robust camera pose estimation method based on tracking calibrated fiducials in a known 3D environment, the camera location is dynamically computed by the Orthogonal ...
Iteration Algorithm. ...
the camera, f is the focal length of camera, α x , α y are the horizontal and vertical pixel sizes on the imaging plane, and ( u 0 ,v 0 ) is the projection of camera center (principal point) on the image ...
doi:10.1145/1044588.1044682
dblp:conf/vrcai/AbabsaM04
fatcat:3ikhl453vraapkzalwjz7jg7qe
Exploiting low-rank structures from cross-camera images for robust person re-identification
2014
2014 IEEE International Conference on Image Processing (ICIP)
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Matching individuals across non-overlapping camera views is known as the problem of person re-identification. ...
Based on the technique of low-rank matrix decomposition, our proposed algorithm observes the low-rank structure of cross-view data, which is able to disregard extreme/sparse errors while the missing instances ...
As a result, the problem of robust person re-identification can be solved. ...
doi:10.1109/icip.2014.7025491
dblp:conf/icip/FuWC14
fatcat:lwho4nqqxnbitjw5mdq6hy4siu
Rapid and Robust Automated Macroscopic Wood Identification System using Smartphone with Macro-lens
[article]
2017
arXiv
pre-print
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Camera-enabled smartphone with Internet connectivity coupled with a macro-lens provides a simple and effective digital acquisition of macroscopic wood images which are essential for macroscopic wood identification ...
Our system is cost effective, easily accessible, fast and scalable at the same time provides human-level accuracy on identification. ...
Machine learning algorithm is used to train on professionally labelled and verified macroscopic wood samples to produce a reliable, consistent and robust human level identification system. ...
arXiv:1709.08154v1
fatcat:nqfvyhawxba6vkuzwkldaxhvfm
Enhancing Person Re-identification by Robust Structural Metric Learning
2013
2013 Seventh International Conference on Image and Graphics
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In this paper, we propose a robust structural metric learning model for person re-identification with two main advantages: 1) it applies loss functions at the level of rankings rather than pairwise distances ...
; 2) the proposed model is also robust to noisy information of the extracted features. ...
INTRODUCTION Matching people across non-overlapping camera views, known as person re-identification, has become one of the most important tasks in video surveillance systems. ...
doi:10.1109/icig.2013.99
dblp:conf/icig/YuanZW13
fatcat:3d57dnk5gvcbvk3deo6smowrxe
Person re-identification by Local Maximal Occurrence representation and metric learning
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Experiments on four challenging person re-identification databases, VIPeR, QMUL GRID, CUHK Campus, and CUHK03, show that the proposed method improves the state-of-the-art rank-1 identification rates by ...
Person re-identification is an important technique towards automatic search of a person's presence in a surveillance video. ...
Acknowledgments This work was supported by the Chinese National Natural Science Foundation Projects #61203267, #61375037, #61473291, National Science and Technology Support Program #2013BAK02B01, Chinese Academy of ...
doi:10.1109/cvpr.2015.7298832
dblp:conf/cvpr/LiaoHZL15
fatcat:upodg3l2cjcwrbcskmu2jmm5by
Robustness in blind camera identification
2016
2016 23rd International Conference on Pattern Recognition (ICPR)
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This creates a robustness challenge to standard source camera identification algorithms, such as [3] , [4] . ...
We address the robustness of source camera identification when the images taken by that camera have undergone image processing [8] . ...
doi:10.1109/icpr.2016.7900239
dblp:conf/icpr/SamarasMP16
fatcat:rrcc6ihwr5h5lddtrophc47n5y
Source camera identification using Auto-White Balance approximation
2011
2011 International Conference on Computer Vision
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To the best of our knowledge, this is the first time that a source camera identification method based on AWB has been reported. ...
the AWB algorithm used inside the camera. ...
Nasir Memon for sharing their codes for feature extraction, Thomas Gloe for his explanation on 'Dresden Image Database'. ...
doi:10.1109/iccv.2011.6126225
dblp:conf/iccv/DengGZ11
fatcat:yvvgpc22undprfvtpx5bjfhhga
Robust and efficient vision system for group of cooperating mobile robots with application to soccer robots
2004
ISA transactions
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Better results of the vision system are achieved by implementing camera calibration and shading correction algorithm. ...
The former corrects camera lens distortion, while the latter increases robustness to irregular illumination conditions. ...
The robustness of the presented vision system is therefore improved by means of camera calibration algorithms. ...
doi:10.1016/s0019-0578(07)60152-9
pmid:15272790
fatcat:ndhpm45qznh5hmtlsk3a5h2syy
A Review: The Survey of the Effects of Light on Weed Recognition
2018
MATEC Web of Conferences
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The automatic recognition of weeds based visual is the important step. In this paper, the effects of lighting on green identification and weed identification algorithms are summarized. ...
In order to improve the accuracy and stability of the identification of crops and weeds, some further worth problems in the study are also put forward. ...
Acknowledgments This work has received funding from Regional Science Foundation of National Natural Science Foundation of China "The research on feature extraction of vegetable community in weed identification ...
doi:10.1051/matecconf/201822804008
fatcat:rqyjvcl56nggvn5iqzpxifdzdu
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