Wyniki wyszukiwania dla: EVENT EXTRACTION - MOST Wiedzy

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Wyniki wyszukiwania dla: EVENT EXTRACTION

Wyniki wyszukiwania dla: EVENT EXTRACTION

  • A Parallel Corpus-Based Approach to the Crime Event Extraction for Low-Resource Languages

    Publikacja
    • N. Khairova
    • O. Mamyrbayev
    • N. Rizun
    • M. Razno
    • G. Ybytayeva

    - IEEE Access - Rok 2023

    These days, a lot of crime-related events take place all over the world. Most of them are reported in news portals and social media. Crime-related event extraction from the published texts can allow monitoring, analysis, and comparison of police or criminal activities in different countries or regions. Existing approaches to event extraction mainly suggest processing texts in English, French, Chinese, and some other resource-rich...

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  • Identification of regions of interest in video for a traffic monitoring system

    Publikacja

    - Rok 2008

    A system for automatic event detection in the camera image is presented in this paper. A method of limiting a region of interest to relevant parts of the image using a set of processing procedures is proposed. Image processing includes object detection with shadow removal performed in the modified YCbCr color space instead of RGB. The proposed procedures help to reduce the complexity of image processing algorithm and result in...

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  • Extraction of stable foreground image regions for unattended luggage detection

    A novel approach to detection of stationary objects in the video stream is presented. Stationary objects are these separated from the static background, but remaining motionless for a prolonged time. Extraction of stationary objects from images is useful in automatic detection of unattended luggage. The proposed algorithm is based on detection of image regions containing foreground image pixels having stable values in time and...

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  • Hazard Control in Industrial Environments: A Knowledge-Vision-Based Approach

    Publikacja

    This paper proposes the integration of image processing techniques (such as image segmentation, feature extraction and selection) and a knowledge representation approach in a framework for the development of an automatic system able to identify, in real time, unsafe activities in industrial environments. In this framework, the visual information (feature extraction) acquired from video-camera images and other context based gathered...

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  • Improvement of glass break acoustic signal detection via application of wavelet packet decomposition

    The main subject of the authors' research are non-contact methods of glass break detection based on analysis of the acoustic signal generated during the event. This problem has essential meaning for modern cost- effective alarm systems, particularly those installed into big buildings. The main difficulties of the matter are: transient character of the signal, great number of similar sounds (false signals, mainly accidental glass...

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