Abstract. A description of the MIT Lincoln Laboratory system used in the person identification task of the recent CLEAR 2007 Evaluation is documented in this paper. This task is br...
This paper presents the Athens Information Technology system for 3D person tracking and the obtained results in the CLEAR 2007 evaluations. The system utilizes audiovisual informat...
Abstract. This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multipl...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
In this paper, we present ISL person identification systems in the CLEAR 2007 evaluations. The identification systems consist of a face recognition system, a speaker identification...
Hazim Kemal Ekenel, Qin Jin, Mika Fischer, Rainer ...
This paper presents the algorithm and evaluation results of a face detection and tracking system. A tree-structured multi-view face detector trained by Vector Boosting is used as t...
Abstract. This paper describes the CHIL 2007 evaluation data set provided for the Rich Transcription 2007 Meeting Recognition Evaluation (RT07) in terms of recording setup, scenari...
The paper describes the IBM systems submitted to the NIST Rich Transcription 2007 (RT07) evaluation campaign for the speechto-text (STT) and speaker-attributed speech-to-text (SAST...
This paper presents the person identification system developed at Athens Information Technology and its performance in the CLEAR 2007 evaluations. The system operates on the audiov...
Andreas Stergiou, Aristodemos Pnevmatikakis, Lazar...
We describe the latest version of the SRI-ICSI meeting and lecture recognition system, as was used in the NIST RT-07 evaluations, highlighting improvements made over the last year....
Andreas Stolcke, Xavier Anguera, Kofi Boakye, &Oum...
In this paper, we present our system used and evaluated on the CLEAR’07 benchmarks, both on single- and multi-view head pose estimation. The benchmarks show a high contrast in th...