FACE TRACKING AND RECOGNITION FROM VIDEO

Hindawi Publishing CorporationEURASIP Journal on Image and Video ProcessingVolume 2008, Article ID 374528, 19 pagesdoi:10.1155/2008/374528Research ArticleIntegrated Detection, Tracking, and Recognition of Faces withOmnivideo Array in Intelligent EnvironmentsKohsia[r]

(b) ROC for AHMFigure 7: ROC of FAR versus FRR for MOBIO Dev Set for MSM and AHM.12 EURASIP Journal on Image and Video Processingresults show that MRH feature is more discriminative forface recognition with illumination, pose, and expressionvariations and is[r]

Hindawi Publishing CorporationEURASIP Journal on Advances in Signal ProcessingVolume 2008, Article ID 185281, 13 pagesdoi:10.1155/2008/185281Research ArticleComplex Wavelet Transform-Based Face RecognitionAlaa Eleyan, H¨useyin¨Ozkaramanli, and Hasan DemirelElectrical & Electron[r]

Figure 5: An example of a time function of (a) LCGF (normal-ized lip-angle value) and (b) LMVF (normalized vertical varianceof optical-flow vector components).the maximum values in each utterance. Figure 5(a) shows anexample of a time function of the normalized lip-angle for aJapanese digit ut[r]

[8,1,9] depend on the us e of multi-view exemplar tem-plates to train a classifier. Such methods normallyrequire a dense set of training view s for successful ATRtasks and they are often limited in dealing withunknown targets.In this work, we propose a new couplet of identity andview manifold[r]

and vertical rotation from −30◦to 30◦. The resulting face descriptor basedon multiple representative views, which is of compact size, shows reasonable face recognition performance on any view. Hence,our face descriptor contains quite enough 3D information of[r]

Hindawi Publishing CorporationEURASIP Journal on Applied Signal ProcessingVolume 2006, Article ID 61927, Pages 1–18DOI 10.1155/ASP/2006/61927A Human Body Analysis SystemVincent Girondel, Laurent Bonnaud, and Alice CaplierLaboratoire des Images et des Signaux (LIS), INPG, 38031 Grenoble, Franc[r]

License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properlycited.1. INTRODUCTIONA great amount of research effort has been devoted to facerecognition based on 2D face images [1]. However, the meth-ods developed are sensit[r]

Hindawi Publishing CorporationEURASIP Journal on Advances in Signal ProcessingVolume 2010, Article ID 507247, 10 pagesdoi:10.1155/2010/507247Research ArticleNonlinear Synchronization for Automatic Learning of3D Pose Variability in Human Motion SequencesM. Mozerov, I. Rius, X. Roca, and J. Gon[r]

Hindawi Publishing CorporationEURASIP Journal on Audio, Speech, and Music ProcessingVolume 2007, Article ID 64506, 9 pagesdoi:10.1155/2007/64506Research ArticleAudio-Visual Speech Recognition Using Lip InformationExtracted from Side-Face ImagesKoji Iwano, Tomoaki Yoshinag[r]

By comparison, we also evaluated the magnitude of theinitial eigenvectors for the eigenface method when using theline-fit method described in Section 5. The cumulative eigen-values computed by using the β axis as the new image planeare shown in Ta ble 3 and exhibit a similar increase in in-for[r]

substantial research is still required. Taking a broader view of emotion as a mental state, signal processing researchers have also explored the possibilities of automatically detecting other types of mental state which share some characteristics with emotion, for example stress, depression, cogniti[r]

This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formattedPDF and full text (HTML) versions will be made available soon.Emotion and mental state recognition from speechEURASIP Journal on Advances in Signal Processing 2012,2012:15 doi:1[r]

Hindawi Publishing CorporationEURASIP Journal on Advances in Signal ProcessingVolume 2008, Article ID 312849, 11 pagesdoi:10.1155/2008/312849Research ArticleFace Recognition Incorporating Ancillary InformationSang-Ki Kim, Kar-Ann Toh, and Sangyoun LeeSchool of Electrical and Ele[r]

The proposed system contains the following steps:• Normalization of the original image.• Feature extraction using fractal encoding of thenormalized image and genetic algorithm.* Correspondence: yousra.benjemaa@planet.tnSignals and Systems Unit, National Engineering School of Sfax, Sfax[r]

arise in many applications, including sports video, whereseveral players perform coordinated actions, like running,catching, and passing to achieve a goal. Recognizing suchevents under occlusion and amidst dynamic, cluttered back-ground is challenging. We address these uncertain[r]

The Earth sciences are a collection of disciplines thatconsider Earth’s atmosphere and hydrosphere, as wellas the planet’s solid aspect, the geosphere. The academicdisciplines concerned with the geosphere are collectivelycalled the geological sciences, or geosciences. Each oneconsiders differ[r]

như một hub USB và bạn sẽ có thể kết nối các thiết bị như chuột, bàn phím và bộ điều khiển trò chơi đến các tablet và smartphone Google cũng dự định sẽ tạo điều kiện thuận lợi hơn cho các nhà phát triển bằng cách phát hành một tập hợp mới các API. Điều này sẽ giúp họ mở rộng quy mô ứng dụng trên các[r]

So far, biometric identification in general and facial recognition in particular are still being researched and developed for applying in several areas such as security, etc. In this paper, the authors study on some facial image recognition methods that have been researched and published in the worl[r]

by [6] has achieved real-time M PEG-4 video encoding of the15 fps QCIF size images requiring 65.7 MCycles using thesame RISC embedded processor as we use in our case. Ourvideo encoder is able to encode not only 15 fps QCIF but alsoCIF images, with lower cycle-count at the cost of extra hard-w[r]