A. Pentland and T. Choudhury, "Face recognition for smart environments, " IEEE Computer, vol. 33, no. 2, pp. 50--55, Feb. 2000. Home/Search Document Not in Database Summary Related Articles Check |
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Meta-classification of Multimedia Classifiers - Wei-Hao Lin Rong (1 citation) (Correct)
....and machine learning. Visual classifiers for fingerprints [6] face recognition [11] 12] iris matching [9] and audio classifiers for speaker identification [15] have been successfully applied to many domains like security surveillance, optical character recognition, and smart environments [10]. Our research aims to develop a system that allows people to capture and retrieve from a complete record of their personal experiences. This assumes that within ten years technology will be in place for creating a continuously recorded, digital, high fidelity record of one s whole life in video ....
A. Pentland, and T. Choudhury "Face Recognition for Smart Environments", IEEE Computer, Feb 2000, pp. 50-55
Active Camera Networks and Semantic Event Databases for.. - Trivedi, Mikic, Bhonsle (2000) (7 citations) (Correct)
....the system in a custom built intelligent room are also presented. Introduction Intelligent environments provide numerous challenges in the machine perception area. It is strongly influencing recent research in the computer vision field [1] Significant advances have been made in face recognition [2, 3], people tracking [4] and gesture recognition [5] In audio analysis, much progress has been made in speaker and speech recognition [6] and source localization [7, 8] There is a growing interest in multimodal systems, which integrate different modalities, such as audio and video [9] One type of ....
A. Pentland, T. Choudhury, "Face Recognition for Smart Environments", IEEE Computer, vol. 33, no. 2, February 2000, pp. 50-55
Intelligent Environments and Active Camera Networks - Trivedi, Huang, Mikic (2000) (3 citations) (Correct)
....that allow natural and efficient mechanisms for humancomputer interactions in places where humans work, learn, and play. Recent research on intelligent environments provides numerous new challenges in the fields of machine perception. In computer vision [1] distinct progress in face recognition [2, 3], people tracking [4] and gesture recognition [5] has been made in the last decade. For audio, much progress has been made in speaker and speech recognition [6] and source localization [7, 8] Integrated sensory modalities of audio and video [9, 10, 11] are also been seriously considered ....
....the class is too big that an incorrect person is included into the class, and false rejection stands for the converse case that a correct person is rejected. Other face recognition algorithms like independent component analysis also apply, and are reported to have better recognition performances [2, 23, 24]. Figure 6 Integrated performance: Two people having a conversation in a room. Upper left window shows the views from four cameras and the crosshairs correspond to the 3D tracks projected back to the image planes. Upper right window shows the projections of the 3D tracks of the participants onto ....
A. Pentland, T. Choudhury, "Face Recognition for Smart Environments," IEEE Computer, vol. 33, no. 2, pp. 50-55, Feb. 2000.
Biometric Authentication - Braghin (Correct)
....may be made available to the office of the chief state s attorney, if necessary, for the prosecution of fraud. 4 Different Biometrics Technologies In this Section we give a brief overview of some of the emerging biometric technologies. Facial Recognition and Thermogram Facial recognition [11] systems are based on the distance between facial attributes (from pupil to pupil, for instance) or on the dimensions of the attributes themselves (such as the width of the mouth) At each transaction, a tiny camera feeds a live image of the person to a database which compares 7 Seminar on ....
Alex Pentland and Tanzeem Choudhury. Face recognition for smart environments, IEEE computer, special issue, February 2000.
How Iris Recognition Works - Daugman (2002) (2 citations) (Correct)
....of expressions, as well as being an active 3D object whose image varies with viewing angle, pose, illumination, accoutrements, and age. It has been shown that for facial images taken at least one year apart, even the best current algorithms have error rates of 43 (Phillips et al. 2000) to 50 (Pentland et al. 2000). Against this intra class (same face) variability, inter class variability is limited because different faces possess the same basic set of features, in the same canonical geometry. Figure 1: Example of an iris pattern, imaged monochromatically at a distance of about 35 cm. The outline overlay ....
Pentland, A., and Choudhury, T. 2000. Face recognition for smart environments. Computer 33(2): 50-55.
People Recognition in Image Sequences by Supervised Learning - Nakajima, Pontil, al. (2000) (3 citations) (Correct)
....depending on the specific application and security level. The development of automatic visual surveillance systems can now leverage techniques for detecting and recognizing people that have been developed recently: pedestrian detection [1, 2] face detection [3, 4, 5] face recognition [6, 7], and motion detection [8, 9] In general, the unconstrained task of people recognition still presents a number of difficult challenges due to the similarity of people images, pose variations, change of clothes, different illumination and background conditions. In our experiments we defined a ....
A. Pentland and T. Choudhury, Face recognition for smart environments, Computer, Vol. 32, 2000.
Dynamic Context Capture and Distributed Video Arrays for.. - Trivedi, Huang, Mikic (2005) (Correct)
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A. Pentland and T. Choudhury, "Face recognition for smart environments, " IEEE Computer, vol. 33, no. 2, pp. 50--55, Feb. 2000.
Gabor-based Kernel PCA with Fractional Power Polynomial Models for.. - Liu (2004) (1 citation) (Correct)
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A. Pentland and T. Choudhury, "Face recognition for smart environments," Computer, vol. 33, no. 2, pp. 50--55, 2000.
Independent Component Analysis of Gabor Features for Face.. - Liu, Wechsler (2003) (Correct)
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A. Pentland and T. Choudhury, "Face recognition for smart environments," Computer, vol. 33, no. 2, pp. 50--55, 2000.
How Iris Recognition Works - Daugman (2004) (2 citations) (Correct)
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A. Pentland and T. Choudhury, "Face recognition for smart environments, " Computer, vol. 33, no. 2, pp. 50--55, 2000.
In Proceedings of AAAI-02 Workshop on Intelligent.. - Triggering Memories Of (Correct)
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A. Pentland , and T. Choudhury "Face Recognition for Smart Environments", IEEE Computer, Feb 2000, pp. 50-55
Video Arrays for Real-Time Tracking of Persons, Head and Face .. - Huang, Trivedi (2001) (Correct)
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A. Pentland and T. Choudhury, "Face Recognition for Smart Environments," IEEE Comp. Mag., pp. 50-55, Feb. 2000.
Triggering Memories of Conversations using Multimodal.. - Wei-Hao Lin Rong (Correct)
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A. Pentland, and T. Choudhury "Face Recognition for Smart Environments", 1EEE Computer, Feb 2000, pp. 50-55
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