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On robustness of camera identification algorithms

Jarosław Bernacki
2020 Multimedia tools and applications  
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

Madjid Maidi, Fakhreddine Ababsa, Malik Mallem
2010 EURASIP Journal on Image and Video Processing  
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


2007 Information Sciences 2007  
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

Shruti Sharma, Brahmi Sharman
2016 International Journal of Computer Applications  
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

Kurt Rosenfeld, Husrev T. Sencar, Edward J. Delp III, Jana Dittmann, Nasir D. Memon, Ping Wah Wong
2009 Media Forensics and Security  
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

S. Poornima, Faritha Nasreen, Arul Dhana Saam Prakash, Aparrnaa Raghuraman
2015 Procedia Computer Science  
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

Fakhr-eddine Ababsa, Malik Mallem
2004 Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry - VRCAI '04  
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

Ming-Hang Fu, Yu-Chiang Frank Wang, Chu-Song Chen
2014 2014 IEEE International Conference on Image Processing (ICIP)  
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]

Xin Jie Tang, Yong Haur Tay, Nordahlia Abdullah Siam, Seng Choon Lim
2017 arXiv   pre-print
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

Gang Yuan, Zhaoxiang Zhang, Yunhong Wang
2013 2013 Seventh International Conference on Image and Graphics  
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

Shengcai Liao, Yang Hu, Xiangyu Zhu, Stan Z. Li
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
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

Stamatis Samaras, Vasilis Mygdalis, Ioannis Pitas
2016 2016 23rd International Conference on Pattern Recognition (ICPR)  
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

Zhonghai Deng, Arjan Gijsenij, Jingyuan Zhang
2011 2011 International Conference on Computer Vision  
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

Gregor Klančar, Matej Kristan, Stanislav Kovačič, Omar Orqueda
2004 ISA transactions  
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

Zhengqiang Chen, Zhaomin Ma, G. Lee
2018 MATEC Web of Conferences  
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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