Video Indexing Using Face Detection and Face Recognition Methods (2008)
Stefan Eickeler, Stefan Müller, Gerhard Rigoll
This paper presents a video indexing approach, that combines face detection and face recognition. The frames of the video sequences are scanned for faces by a Neural Network based face detector and...
Performance of the Duisburg Statistical Object Tracker on Test Data for PETS2000 (2007)
Gerhard Rigoll, Stefan Eickeler, Ilhan K. Yalcin
This paper presents the first results obtained from the statistical object tracker developed at Duisburg University for the test data sequence provided by the organizers of the PETS2000 workshop. Our...
Person-Independent Continuous Online Recognition of Gestures (2007)
Stefan Eickeler, Stefan Müller, Gerhard Rigoll
This paper presents a gesture recognition system based on Hidden Markov Models. It has several user friendly capabilities like person-independent and background independent recognition. It can...
Video Indexing Using Face Detection and Face Recognition Methods (2007)
Stefan Eickeler, Stefan Müller, Gerhard Rigoll
This paper presents a video indexing approach, that combines face detection and face recognition. The frames of the video sequences are scanned for faces by a Neural Network based face detector and...
Automatische Bildfolgenanalyse mit statistischen Mustererkennungsverfahren (2006)
In this thesis new methods for the automatic recognition of the content of image sequences are presented. Solutions to the following video sequences analysis tasks are developed: temporal...
MPEG-2 Compressed-Domain Algorithms for Video Analysis (2006)
Wolfgang Hesseler, Stefan Eickeler
This paper presents new algorithms for extracting metadata from video sequences in the MPEG-2 compressed domain. Three algorithms for efficient low-level metadata extraction in preprocessing stages...
Automatische Bildfolgenanalyse mit statistischen Mustererkennungsverfahren (2005)
In this thesis new methods for the automatic recognition of the content of image sequences are presented. Solutions to the following video sequences analysis tasks are developed: temporal...
Automatische Bildfolgenanalyse mit statistischen Mustererkennungsverfahren / (2003)
Thesis (doctoral) - Univ., Duisburg, 2001.
Martha Larson, Stefan Eickeler
Spoken document collections with high word-type/word-token ratios and heterogeneous audio continue to constitute a challenge for information retrieval. The experimental results reported in this paper...
In this thesis new methods for the automatic recognition of the content of image sequences are presented. Solutions to the following video sequences analysis tasks are developed: temporal...
In this thesis new methods for the automatic recognition of the content of image sequences are presented. Solutions to the following video sequences analysis tasks are developed: temporal...
Duisburg, Universiẗat, Diss., 2001.
Creation of an Annotated German Broadcast Speech Database for Spoken Document Retrieval (2002)
Stefan Eickeler, Martha Larson, Wolff Rüter, Joachim Köhler
In this paper we present a semi-automatic method for creating annotated data sets from German-language broadcast resources for which audio files as well as transcripts are available on the Internet....
Automatische Bildfolgenanalyse mit statistischen Mustererkennungsverfahren / (2001)
Duisburg, Universiẗat, Diss., 2001 (Nicht für den Austausch).
Content-Based Indexing of Images and Video Using Face Detection and Recognition Methods (2001)
Stefan Eickeler, Frank Wallhoff, Uri Iurgel, Gerhard Rigoll
This paper presents an image and video indexing approach that combines face detection and face recognition methods. Images of a database or frames of a video sequence are scanned for faces by a...
Stefan Müller, Stefan M Uller, Stefan Eickeler, Christoph Neukirchen, Bernd Winterstein
In this paper, a new approach to identification of handwritten symbols in arbitrary complex environments is presented. 20 different pictograms drawn in different backgrounds can be identified with a...
Content-Based Video Indexing Of TV Broadcast News Using Hidden Markov Models (1999)
Stefan Eickeler, Stefan Müller, Stefan M Uller
This paper presents a new approach to content-based video indexing using Hidden Markov Models (HMMs). In this approach one feature vector is calculated for each image of the video sequence. These...
High Performance Face Recognition Using Pseudo 2-D Hidden Markov Models (1999)
Stefan Eickeler, Stefan Müller, Gerhard Rigoll
A face recognition system based on 2-D DCT features and pseudo-2D Hidden Markov Models is presented. The system achieves a recognition rate of 99.5 % on the Olivetti Research Laboratory (ORL) face...
Image Database Retrieval of Rotated Objects by User Sketch (1998)
Stefan Muller, Stefan Eickeler, Gerhard Rigoll
This paper describes our image retrieval system, which enables the user to search a grey-scale image database intuitively by presenting simple sketches. The database contains 120 different isolated...
Christoph Neukirchen, Daniel Willett, Stefan Eickeler, Stefan Müller
In previous work about hybrid speech recognizers with discrete HMMs we have shown that VQs, that are trained according to an MMI criterion, are well suited for ML estimated Bayes classifiers. This is...
Hidden Markov Model Based Continuous Online Gesture Recognition (1998)
Stefan Eickeler, Andreas Kosmala, Gerhard Rigoll
This paper presents the extension of an existing visionbased gesture recognition system using Hidden Markov Models (HMMs). Several improvements have been carried out in order to increase the...
High Performance Real-Time Gesture Recognition Using Hidden Markov Models (1997)
Gerhard Rigoll, Andreas Kosmala, Stefan Eickeler
Abstract. An advanced real-time system for gesture recognition is presented, which is able to recognize complex dynamic gestures, such as "hand waving", "spin",...
A New Approach to Content-based Video Indexing Using Hidden Markov Models (1997)
Stefan Eickeler, Andreas Kosmala, Gerhard Rigoll
Abstract. This paper presents one of the first investigations of the use of Hidden Markov Models (HMMs) for content-based video indexing. A real-time video indexing system for TV news is described,...
Improved Face Recognition Using Pseudo 2-D Hidden Markov Models
Stefan Eickeler, Stefan Müller, Gerhard Rigoll
. A face recognition system based on 2-D DCT features and pseudo-2D Hidden Markov Models is presented. The system achieves a recognition rate of 99.5 % on the Olivetti Research Laboratory (ORL) face...