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Local Fisher Discriminant Analysis for Pedestrian Re-identification

Sateesh Pedagadi, James Orwell, Sergio Velastin, Boghos Boghossian
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
A second stage further reduces the dimensionality, using a Local Fisher Discriminant Analysis defined by a training set.  ...  Metric learning methods, for person re-identification, estimate a scaling for distances in a vector space that is optimized for picking out observations of the same individual.  ...  Local Fisher Discriminant Analysis A descriptor matrix is defined, X ≡ (x 1 |x 2 |...  ... 
doi:10.1109/cvpr.2013.426 dblp:conf/cvpr/PedagadiOVB13 fatcat:cb22mbwcmvezfourizil6fvlb4

Local Non Zero Eigen Value Preservation Based Expression Recognition

2020 International journal of recent technology and engineering  
This work proposes an finest mapping from features space to inherited space using kernel locality non zero eigen values protecting Fisher discriminant analysis subspace approach.  ...  Feature fusion dataset space is converted into short dimensional inherited space by kernel locality protecting Fisher discriminant analysis method and projected space is normalized by suitable normalization  ...  eigen based Fishers discriminant analysis (KLFDA).  ... 
doi:10.35940/ijrte.e6368.038620 fatcat:dsucvpdpvje3tbbw6lku2iidvm

Artificial Intelligence Recognition Simulation of 3D Multimedia Visual Image Based on Sparse Representation Algorithm

Weixiao Chen
2020 IEEE Access  
Aiming at a large number of low-dimensional geometric features of 3D images, this paper studies the extraction and sorting strategies of low-dimensional geometric features of 3D images.  ...  For different types of image data sets, the algorithm only extracts image blocks.  ...  Through the identification experiment simulation, the feasibility and effectiveness of the feature selection strategy proposed by Fisher linear discriminant analysis based on sparse representation elements  ... 
doi:10.1109/access.2020.3006774 fatcat:piigjv7pabaw3c6mkbuwimhglq

Person Re-identification Meets Image Search [article]

Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jiahao Bu, Qi Tian
2015 arXiv   pre-print
However, for person re-identification, the effectiveness of local features and the "query-search" mode make it well posed for image search techniques.  ...  For long time, person re-identification and image search are two separately studied tasks.  ...  First, local feature based approaches [9, 42, 40] are proven to be effective in person re-identification.  ... 
arXiv:1502.02171v1 fatcat:l6ii2i3uyvftfjz6yvzvub7e4q

An Evaluation Scheme for Safe Biometric Feature Extraction Algorithms

Ashly George, Shameem Kappan, Dr. R. Vijayakumar
2017 International Journal of Engineering Research and  
Analysis and Kernel Linear Discriminant Analysis.  ...  From the experimental result it is found that Linear Discriminant Analysis provide a better result of 99.68% with Faces94, when number of training set per person is minimum.  ...  To find the image k that minimizes the Euclidean distance € € =|| (Ω-Ω ) ||^2 LINEAR DISCRIMINANT ANALYSIS (LDA) LDA, also known as Fishers Discriminant Analysis Or Multiple Discriminant Analysis is basically  ... 
doi:10.17577/ijertv6is080225 fatcat:ssf6f6irvzf7pmytizde5mp5pq

Deep adaptive feature embedding with local sample distributions for person re-identification

Lin Wu, Yang Wang, Junbin Gao, Xue Li
2018 Pattern Recognition  
Person re-identification (re-id) aims to match pedestrians observed by disjoint camera views. It attracts increasing attention in computer vision due to its importance to surveillance system.  ...  This yields local discriminations by selecting local-ranged positive samples, and the learned features are robust to dramatic intra-class variations.  ...  Local Fisher Discriminant Analysis (LFDA) is introduced by Pedagadi et al .  ... 
doi:10.1016/j.patcog.2017.08.029 fatcat:xt65d6molnhbfpriyvjskyjeym

Criminal Persons Recognition Using Improved Feature Extraction Based Local Phase Quantization

P. Karuppanan, K. Dhanalakshmi
2022 Intelligent Automation and Soft Computing  
In this paper, the feature extraction is based on local phase quantization with directional graph features for an effective optimal path and the geometric features.  ...  Further, Person Identification based deep neural network (PI-DNN) has proposed are expected to provide a high recognition rate.  ...  But it is failed when it is applied with fisher discriminant analysis and fisher linear discriminant analysis that is based on Gabor wavelet transform.  ... 
doi:10.32604/iasc.2022.023712 fatcat:hjh5tdgmsremdkto3wyjxuvbny

Learning patch-dependent kernel forest for person re-identification

Wei Wang, Ali Taalimi, Kun Duan, Rui Guo, Hairong Qi
2016 2016 IEEE Winter Conference on Applications of Computer Vision (WACV)  
In this paper, we propose a new approach for the person re-identification problem, discovering the correct matches for a query pedestrian image from a set of gallery images.  ...  Multiple decision trees form the proposed random kernel forest, which always discriminatively assign the optimal local metric kernel to the local image patches in re-identification.  ...  [36] applied FDA (fisher discriminant analysis) together with PCA and LPP (locality preserving projections) to derive a low-dimensional yet discriminant subspace. Li et al.  ... 
doi:10.1109/wacv.2016.7477578 dblp:conf/wacv/WangTDGQ16 fatcat:sed4qqw4jve5xdjqgy4jjznfw4

A Novel Face Recognition Algorithm Using Gabor - based KPCA

Umasankar Ch, D. Naresh Kumar, Md. Abdul Rawoof, D. Khalandar Basha, N. Madhu
2018 International Journal of Reconfigurable and Embedded Systems (IJRES)  
However, this method does not consider the structural characteristics of the face images, and it is difficult to determine which nonlinear mapping is more effective for face recognition.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their comments which were very helpful in improving the quality and presentation of this paper.  ...  Locality preserving projections (LPP) obtains a face subspace that best detects the essential face manifold structure, and preserves the local information about the image space.  ... 
doi:10.11591/ijres.v7.i2.pp124-130 fatcat:3r4kurybsbhnxnyp26ll7y7w5y

Hexagonal scale invariant feature transform (H-SIFT) for facial feature extraction

A. Azeem, M. Sharif, J.H. Shah, M. Raza
2015 Journal of Applied Research and Technology  
Furthermore, Fisher Canonical Correlation Analysis based discriminate procedure is outlined to give a more precise classification results.  ...  Feature transformation and key-point identification is the solution to many local feature descriptors. One among such descriptor is the Scale Invariant Feature Transform (SIFT).  ...  While other methods for feature extraction make use of dimensionality reduction techniques such as Prin-cipal Component Analysis (PCA) (Zhao et al., 2009) , Fisher Discriminate Analysis (Wang & Ruan,  ... 
doi:10.1016/j.jart.2015.07.006 fatcat:k6c4jft4g5hlzpqzbdh4gitvoe

Ego-Surfing First-Person Videos

Ryo Yonetani, Kris Kitani, Yoichi Sato
2017 IEEE Transactions on Pattern Analysis and Machine Intelligence  
For example, first-person videos passively recorded by wearable cameras will necessarily include anyone who comes into the view of a camera -- with or without consent.  ...  Motivated by these benefits and risks, we developed a self-search technique tailored to first-person videos.  ...  Any classifier will work for the prior but we used the linear discriminant analysis because it performed the best.  ... 
doi:10.1109/tpami.2017.2771767 pmid:29990151 fatcat:xrocmzxdfndnxkko4w2n3mya4y

Dimensionality Reduction Techniques for Face Recognition [chapter]

Shylaja S., Balasubramanya Murthy K N, Natarajan S
2011 Reviews, Refinements and New Ideas in Face Recognition  
Analysis Fisher Linear Discriminant also referred as Linear Discriminant Analysis is a classical pattern recognition method, which was introduced by Fisher (1934) .  ...  Our analysis shows that LDA actually aims to preserve discriminating information and global geometrical structure. Moreover, LDA has a similar form to LPP.  ...  New approaches to improve the robustness of face analysis techniques are followed by two articles dealing with real-time challenges in video sequences.  ... 
doi:10.5772/18251 fatcat:eyppypynmjgfjnixvipskuhzwi

Person Re-identification: Past, Present and Future [article]

Liang Zheng, Yi Yang, Alexander G. Hauptmann
2016 arXiv   pre-print
Person re-identification (re-ID) has become increasingly popular in the community due to its application and research significance. It aims at spotting a person of interest in other cameras.  ...  This paper: 1) introduces the history of person re-ID and its relationship with image classification and instance retrieval; 2) surveys a broad selection of the hand-crafted systems and the large-scale  ...  ACKNOWLEDGMENTS The authors would like to thank the pioneer researchers in person re-identification and other related fields.  ... 
arXiv:1610.02984v1 fatcat:dbbbohinbrdwvao55f376kip44

Ego-surfing first person videos

Ryo Yonetani, Kris M. Kitani, Yoichi Sato
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
For example, first-person videos passively recorded by wearable cameras will necessarily include anyone who comes into the view of a camera -with or without consent.  ...  We incorporate this feature into our proposed approach that computes the motion correlation over supervoxel hierarchies to localize target instances in observer videos.  ...  Any classifier will work for the prior but we used the linear discriminant analysis because it performed the best.  ... 
doi:10.1109/cvpr.2015.7299183 dblp:conf/cvpr/YonetaniKS15 fatcat:5xd53ydvwva5jcclmedy2y6ime

Exploiting Multiple Detections for Person Re-Identification

Amran Bhuiyan, Alessandro Perina, Vittorio Murino
2018 Journal of Imaging  
We then present a re-identification framework where we segment the pedestrian images into meaningful parts and extract features from such parts, as well as from the whole body.  ...  Re-identification systems aim at recognizing the same individuals in multiple cameras, and one of the most relevant problems is that the appearance of same individual varies across cameras due to illumination  ...  Vittorio Murino is responsible for conception, revision and supervision. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/jimaging4020028 fatcat:vgggbna255fgrlacmoze3c6q2a
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