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检索条件"任意字段=5th International Conference on Pattern Recognition in Bioinformatics"

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Extended Noise Adaptive Binary pattern for Garments pattern Classification 5

Extended Noise Adaptive Binary Pattern for Garments Pattern ...

引用

5th international conference on Computer, Communication, Chemical, Materials and Electronic Engineering, IC4ME2 2019

作者： Akter, Ayesha Mitra, Badal Chandra Faisal, Rahat Hossain Rahman, Md. Mostafijur University of Barisal Department of Computer Science and Engineering Barisal Bangladesh

ISBN: (纸本)9781728130606

Garments and fashion industries play a vital role in our economy. the automatic classification and recognition of garments design class may help in development of fashion industry. For this purpose, different feature descriptors have been proposed to extract discriminative information from the garments texture images. In this paper we proposed a new descriptor namely Extended Noise Adaptive Binary pattern (ENABP). To evaluate this descriptor, we use two different publicly available datasets (Fashion and Clothing attribute dataset). the experimental result shows that ENABP produces better accuracy than NABP and other existing descriptor. © 2019 IEEE.

关键词： Support vector machines

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Human Gait recognition: Viewing Angle Effect on Normal Walking pattern 5

Human Gait Recognition: Viewing Angle Effect on Normal Walki...

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5th international conference on Computer and Communication Engineering (ICCCE 2014)

作者： Makhdoomi, Nahid A. Gunawaan, Teddy S. Habaebi, Mohamed H. Ab Rahim, Rosminazuin Int Islamic Univ Malaysia Fac Engn Dept Elect & Comp Engn Kuala Lumpur Malaysia

ISBN: (纸本)9781479976355

Gait recognition has recently gained interest of researchers as it performs identification of subjects at a distance from the camera. However, due to the changes in the viewing angles, it gets cumbersome for a system to perform recognition based on the walking pattern of an individual. In this work, the aim is to propose a simple baseline method for the purpose of human recognition based on the shape of its body and walking pattern when the subject is observed from different viewing angles. the recognition is also tested on the subjects in a scenario where the individual subjects are registered while walking in normal walking pattern followed by the testing in normal walking mode, apart from being observed at different viewing angles. Gait periodicity is estimated after extracting the silhouettes of an individual, followed by obtaining the total silhouette representation of an individual using Matlab. the total silhouette representations obtained from the probe gait data are compared to the gallery gait data representations for the purpose of similarity computation by calculating the RMS value between the said representations. Higher the value, lesser is the similarity & vice versa.

关键词： gait recognition biometrics identification gait-database

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Relaxation-based pattern matching using automatic differentiation for off-line character recognition 5

Relaxation-based pattern matching using automatic differenti...

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5th international conference on Document Analysis and recognition, ICDAR 1999

作者： Nagasaki, Takeshi Yanagida, Tadashi Nakagawa, Masaki Dept. of Computer Science Tokyo University of Agriculture and Technology 2-24-16 Naka-cho Koganei-shi- Tokyo184-8588 Japan Central Research Laboratory Hitachi Ltd. Tokyo Japan Fuji Xerox Co. Ltd. Kanagawa Japan

ISBN: (纸本)0769503187

the paper describes a relaxation based matching method for offline character recognition. this method employs elastic stroke models as standard character patterns. pattern similarity between a standard and an input pattern is defined by fuzzy logic. the matching process is formalized as a maximization problem of the similarity and computed by the steepest descent technique. To implement this technique, we adopted automatic differentiation, which made it possible to calculate the partial derivatives of the target function automatically, only given the definition of that function. Results of computer experiments targeting 46 hiragana characters from the ETL8B database revealed a maximum recognition rate of 98.8% for 20 input sets when combining stroke springs with relative location springs. © 1999 IEEE.

关键词： Fuzzy logic

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Heterogeneous face image matching using multi-scale features

Heterogeneous face image matching using multi-scale features

引用

2012 5th IAPR international conference on Biometrics, ICB 2012

作者： Liu, Sifei Yi, Dong Lei, Zhen Li, Stan Z. National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences China China Research and Development Center for Internet of Thing China

ISBN: (纸本)9781467303941

Heterogeneous Face recognition (HFR) refers recognition of face images captured in different modalities, e.g. Visual (VIS), near infrared (NIR) and thermal infrared (TIR). Although heterogeneous face images of a given person differ by pixel values, the identity of the face should be classified as the same. this paper focuses on NIR-VIS HFR. Light Source Invariant Features (LSIFs) are derived to extract the invariant parts between two types of face images. the derived LSIFs rely only on the variation patterns of the skin parameters so that the effects generated from light source can be largely reduced. A common feature extraction method is designed to capture LSIFs based on a group of differential-based band-pass image filters, and we show that the scale for filters is critical. Our results in CASIA HFB database validate the effectiveness of the model and our recognition approach. © 2012 IEEE.

关键词： Light sources

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pattern recognition using neural network based on multi-valued neurons 5th

引用

5th international Work-conference on Artificial and Natural Neural Networks, IWANN 1999

作者： Aizenberg, Igor N. Aizenberg, Naum N. Department of Cybernetics University of Uzhgorod Ukraine Scientific advisors to the company Neornl Nctworks Technologies Ltd Israel Minaiskaya 28. kv. 49 Uzhgorod294015 Ukraine

ISBN: (纸本)3540660682

Multi-valued neurons are the neural processing elements with complex-valued weights, huge functionality (it is possible to implement on the single neuron arbitrary mapping described by partial defined multiplevalued function), quickly converged learning algorithms. Such features of the mlti-valued neurons may be used Ibr solulion ofthe different kinds of problems. Neural network with mulli-valued neurolls lbr image recognilion will be considered in tile paper. Such a network analyzes the spectral coefficients corresponding to low frequencies. Sinmlation results are presented on the example of face recognition. © Springer-Verlag Berlin Heidelberg 1999.

关键词： Neurons

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GENERALIZED FOURIER-TRANSFORM PROCESSOR 5

GENERALIZED FOURIER-TRANSFORM PROCESSOR

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5th conference on Optical pattern recognition

作者： CAULFIELD, HJ PENG, HJ HEREFORD, J WILKES, DM ALABAMA A&M UNIV DEPT PHYSNORMALAL 35762

ISBN: (纸本)0819415413

Fourier processing method is very popular in signal and image analysis. In this paper, a generalized Fourier transform (GFT) processor is introduced. It is generalized in that it contains the conventional Fourier transform (CFT) processor as a very limited special case by extending the diagonal filter matrix in CFT to a nondiagonal one. thus, obviously, the GFT processor should be more powerful than the CFT processor. A computer demonstration shows this.

关键词： Fourier transforms Optical pattern recognition Convolution Signal processing Image analysis Image processing Interference (communication) Matrices Signal analyzers Transform theory

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CORRELATION RESULTS USING INVARIANT FILTERS IN AN ACOUSTOOPTIC CORRELATOR 5

CORRELATION RESULTS USING INVARIANT FILTERS IN AN ACOUSTOOPT...

引用

5th conference on Optical pattern recognition

作者： AUGUSTUS, EP GOLDSTEIN, DH KALLMAN, RR ROth, P TURPIN, T WRIGHT LAB ARMAMENT DIRECTORATEMNGAEGLIN AFBFL 32542

ISBN: (纸本)0819415413

Experimental correlation results using invariant filters in an acousto-optic processor are presented and compared with simulation results. Zero and 15 phase state filters are used. Phase-encoded input as well as intensity input examples are given. A variety of invariance ranges are used, with target-specific discrimination included in the filter construction. the acousto-optic processor is described.

关键词： Image filtering Optical filters Acousto-optics Fourier transforms Image processing Optical pattern recognition Optical correlators Spatial light modulators Phase only filters Synthetic aperture radar

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MULTITARGET TRACKING SYSTEM BASED ON BINARY PHASE EXTRACTION JOINT TRANSFORM CORRELATOR AND NEURAL DATA ASSOCIATION ALGORIthM 5

MULTITARGET TRACKING SYSTEM BASED ON BINARY PHASE EXTRACTION...

引用

5th conference on Optical pattern recognition

作者： YI, SY RYU, CS KIM, ES KWANGWOON UNIV DEPT ELECTR ENGNSEOUL 139701SOUTH KOREA

ISBN: (纸本)0819415413

In this paper, we present an OptoNeural approach to the problem of multitarget tracking. the proposed hybrid OptoNeural system uses a new optical binary phase extraction joint transform correlator (BPEJTC) to reduce the massive input target data into a few correlation peak signals. A parallel computational neural network is then used for effective target tracking data association based on these correlation signals. For real-time operation, the BPEJTC is optically implemented using the high resolution LCD spatial light modulators and CCD detectors. Some experimental results on simultaneous tracking of multitargets are also provided.

关键词： Detection and tracking algorithms Binary data Target detection Joint transforms Target recognition Neural networks Optical pattern recognition Optical tracking Evolutionary algorithms LCDs

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5th international conference on Mining Intelligence and Knowledge Exploration, MIKE 2017

5th International Conference on Mining Intelligence and Know...

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5th international conference on Mining Intelligence and Knowledge Exploration, MIKE 2017

ISBN: (纸本)9783319719276

the proceedings contain 40 papers. the special focus in this conference is on Mining Intelligence and Knowledge Exploration. the topics include: Despeckling with structure preservation in clinical ultrasound images using historical edge information weighted regularizer;fingerprint image quality assessment and scoring;pattern based information retrieval approach to discover extremist information on the internet;improved community interaction through context based citation analysis;Portfolio optimization in dynamic environments using MemSPEAII;a multi-objective evolutionary algorithm for color image segmentation;Face recognition by RBF with wavelet, DCV and modified LBP operator face representation methods;DNN-HMM acoustic modeling for large vocabulary Telugu speech recognition;emotion recognition through facial gestures - a deep learning approach;memetic algorithm based on global-best harmony search and hill climbing for part of speech tagging;a study on crossmodal correspondence in sensory pathways through forced choice task and frequency based correlation in sound-symbolism;point process modeling of spectral peaks for low resource robust speech recognition;Significance of DNN-AM for multimodal sentiment analysis;a concept driven graph based approach for estimating the focus time of a document;query morphing: A proximity-based approach for data exploration and query reformulation;wikiSeeAlso: Suggesting tangentially related concepts (see also links) for wikipedia articles;integrating knowledge encoded by linguistic phenomena of Indian languages with neural machine translation;partitioned-based clustering approaches for single document extractive text summarization;Supervised approaches to assign cooperative patent classification (CPC) codes to patents;arousal prediction of news articles in social media;mining informative words from the tweets for detecting the resources during disaster.

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Smart Facial Attendance Management System Using Machine Learning 5

Smart Facial Attendance Management System Using Machine Lear...

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5th international conference on Sustainable Communication Networks and Application, ICSCNA 2024

作者： Joshi, Harnish Bharatia, Nihar Sakariya, Urmil Garg, Dweepna Goel, Parth Department of Computer Engineering Changa388421 India Department of Computer Science and Engineering Changa388421 India

ISBN: (纸本)9798331530013

Face recognition systems are essential in practically every industry in our digital age. One biometric that is frequently utilized is face recognition. It is helpful for security and has a ton of other advantages, identity, and authentication. Despite being less accurate than fingerprint and iris recognition, it is nonetheless commonly utilized because it is a non-invasive and contact-free technique. Additionally, facial recognition systems can be used to track attendance in workplaces, colleges, and schools, among other places. By solving problems with manual attendance procedures, like time consumption and the possibility of proxy attendance, this system seeks to develop an effective facial recognition-based classroom attendance system. As a result, this mechanism becomes more necessary. there are four components to this system capture face, train model, detect and recognize faces, update attendance record, and face detection. the photos of the children in the classroom are what make the data folder. the Haar-Cascade classifier and the Local Binary pattern Histogram technique are used, respectively, for face detection and recognition. the suggested technique achieves approximately 80% accuracy when three to four students are present. Faces from live streaming video are identified and discovered. As a quick and safe substitute for manual attendance procedures, attendance is tracked in XLS sheets and forwarded to the appropriate faculty members at the conclusion of the session. © 2024 IEEE.

关键词： Local binary pattern

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