Uri Iurgel

Learn More
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 Neural Network-based face detector. The extracted faces are then grouped into clusters by a combination of a face recognition method using pseudo two-dimensional(More)
In this paper we present a time-efficient estimation framework for camera-based pedestrian tracking from a moving host car using a monocular camera. An image processing system processes the camera output to find the location of objects of interest in each frame. The position and sensor information about the host translation and rotation are passed to a(More)
Feature extraction and classification are two of the most important modules of any vision-based pedestrian detection system, since they are critical to the performance of the system as a whole. This paper presents the feature extraction and classification modules of a vision-based pedestrian detection system using a vehicle-mounted monochrome camera. The(More)
This paper presents two new real-time approaches to segmentation of TV news shows into topics. The goal of this research work is the high precision retrieval of topics from TV news. For that purpose, the detection of correct topic boundaries is of great importance. We introduce a stochastic and a rule-based topic model based on HMMs. The former combines(More)
In most approaches to text classification, the basic units (terms) used to represent a document are: words (with or without stemming), n-gram characters, phonemes, syllables, multi-words, etc. However, these units are always used exclusively. In this paper, a novel approach is presented that combines two types of such units to represent a document for text(More)
This paper presents a system that shall automatically scan multimedia data like TV or radio broadcasts for the presence of specific topics and, whenever topics of users' interests are detected, alert the related user. Our current work on the three main modules of the system will be shown. (1) The speech recognition system (with 18.7 % WER) is already among(More)
This paper presents a system that shall automatically scan multi-media data like TV or radio broadcasts for the presence of specific topics and, whenever topics of users' interests are detected, alert the related user. Our current work on the three main modules of the system will be shown. (1) The speech recognition system (with 18.7 % WER) is already among(More)