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Carla Maria Modena

Permanent researcher
  • Phone: 0461314508
  • FBK Povo
Short bio

Carla Maria Modena received her degree in Mathematics from the University of Trento in 1985. In 1986, she worked as research assistant (Wissenschaftliche Mitarbeiterin) in Ökonometrie at the Institut für Volkswirtschaftslehre, Universität Regensburg, Germany.
She joined ITC-irst, now FBK (Trento - Italy) in 1987, where she works with the Technologies of Vision (TeV) research unit.

She is interested in text detection and extraction for document image understanding (DIU and OCR) and for scene understanding (TIS). She works mainly on computer vision with applicative tasks (for example, traffic scene analyis, people re-identification). To prevent the risk of reinventing the wheel, she pays a close attention to the state-of-the art before starting each task in which she is involved in, using her ability to fully exploit the net resources and to analyse trends in upcoming conferences.

She is a member of IAPR-CVPL.

Research interests
text localization in scene people re-identification
  1. S. Messelodi; C. M. Modena; M. Zanin,
    A computer vision system for the detection and classification of vehicles at urban road intersections,
    This paper presents a real-time vision system to compute traffic parameters by analyzing monocular image sequences from pole-mounted video cameras at urban crossroads.
    The system is flexible with respect to road geometry and camera position, permitting data collection from several monitored crosses. It uses a combination of segmentation and motion information to localize and track moving objects on the road plane, utilizing background subtraction and a feature-based tracking methodology. For each detected vehicle, the system is able to describe its path, to estimate its speed and to classify it into seven categories. The classification task relies on a model-based matching technique refined by a feature-based one.
    Experimental results demonstrate robust, real-time vehicle detection, tracking and classification over several hours of videos taken under different illumination conditions. The system is presently under trial in Trento, a one hundred thousand people town in northern Italy
  2. G. Cattoni; S. Messelodi; C. M. Modena,
    Vision-based bicycle/motorcycle classification with Support Vector Machines,
    Classification of vehicles plays an important role in a traffic monitoring system. In this paper we present a feature-based classifier, which can distinguish bicycles from motorcycles in real world traffic scenes.
    Basically, the algorithm extracts some visual features focusing on the region corresponding to the wheels of vehicle. It splits the problem into two sub-cases depending on the computed motion direction. The classification is performed by means of a non-linear Support Vector Machine. Tests lead to a successful classification rate of 93% on video sequences taken from different road junctions in an urban environment
  3. Michele Zanin; Stefano Messelodi; Carla Maria Modena,
    Mantova, Italy,
    17/09/2003 - 19/09/2003,
  4. Stefano Messelodi; Carla Maria Modena,
    Extraction of Polygonal Frames from Color Documents for Page Decomposition,
    Graphic accents are often used in the design of complex documents in order to emphasize particular information. Words or illustrations are surrounded by a border line or highlighted by means of a colored background. This paper presents a method for the automatic extraction of document layout items, called {\em frames}, having polygonal shape and/or a uniformly colored background. As frames break the normal text flow, frame detection is a fundamental step of the document layout analysis in a document understanding system. The presented method relies on a color region growing algorithm and on straight edges extractor. The shape analysis of the obtained regions permits to localize the frames with their attributes. In order to reduce computation time and to return only specific patterns, the method exploits information about a model of the frames to be detected such as shape, skew or size, possibly supplied by the user or depending on the specific document class. The presented algorithm is assessed on a page databases containing more than 675 framed items. The evaluation is based on a novel tree matching method that takes into account the frame hierarchy and their shape,
  5. Stefano Messelodi; Carla Maria Modena,
    Low Level Processing of Color Document Images,
    Color is an extremely useful cue that is used for adding information in documents. Document image understanding takes advantage from the implicit or explicit knowledge on the use of color in document production. This knowledge has to be exploited starting from the low level tasks. In this report low level image processing functions, particularly suited for the processing of scanned color documents images, are considered and analyzed in a brief survey. Extensions of some edge detection and edge preserving smoothing algorithms to the color domain are introduced,
  6. Stefano Messelodi; Carla Maria Modena,
    vol. 32,
    n. 5,
    , pp. 789 -
  7. Roberto Brunelli; Ornella Mich; Carla Maria Modena,
    vol. 10,
    n. 2,
    , pp. 78 -
  8. Stefano Messelodi; Carla Maria Modena,
    10th International Workshop on Database & Expert Systems Applications,
    , pp. 534-
    , (10th International Workshop on Database & Expert Systems Applications,
    Florence, Italy,
    30/08/1999 - 03/09/1999)
  9. Roldano Cattoni; Tarcisio Coianiz; Stefano Messelodi; Carla Maria Modena,
    Document Image Understanding (DIU) is an interesting research area with a large variety of challenging applications. Researchers have worked from decades on this topic, as witnessed by the scientific literature. The main purpose of the present report is to describe the current status of DIU with particular attention to two subprocesses: document skew angle estimation and page decomposition. Several algorithms proposed in the literature are synthetically described. They are included in a novel classification scheme. Some methods proposed for the evaluation of page decomposition algorithms are described. Critical discussions are reported about the current status of the field and about the open problems. Some considerations about the logical layout analysis are also reported.,
  10. Carla Maria Modena; Stefano Messelodi,
    Progetto CODICE*: Alcune considerazioni sulle modalità di valutazione del sistema,
    Queste note raccolgono alcune considerazioni relative alla definizione delle modalità di valutazione del sistema di analisi ed interpretazione di documenti complessi in via di sviluppo nell’ambito del progetto CODICE. Viene messo in evidenza che la possibilità di definire metodi di valutazione generali è attuabile solo per alcune sottoparti del sistema se non per specifiche procedure, mentre la definizione di una validazione globale richiede che sia fissato lo scenario applicativo,