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 ...
详细信息
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 ...
详细信息
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.
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 pa...
详细信息
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...
详细信息
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 f...
详细信息
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 tran...
详细信息
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.
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 inten...
详细信息
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.
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 t...
详细信息
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.
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 us...
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 recognitionthrough 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.
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, ide...
详细信息
暂无评论