Keywords: object detector, background subtraction, video analytics, object segmentation, medium frame, computer vision
The detector of variable motion objects in the task of identifying forensically relevant information
UDC 004.932.72'1
DOI: 10.26102/2310-6018/2021.33.2.007
In the modern world, digital evidence is taking an increasing role in crime investigations, video recordings from CCTV being one of the most common types of such evidence. For investigative authorities, the information contained in video recordings is of significant, and in some cases of key importance. This paper focuses on describing the development of a detector of moving and motionless objects on video recordings of CCTV systems. An analysis of a wide range of video materials from the subject area is performed based on the overview of scientific publications on object detection in video data, with the main constraints and assumptions formulated with the use of a mathematical model. The existing solutions are compared, given the set constraints and assumptions. A model of object detection is proposed on the basis of the results of the study, with the most preferable solution for the problem of detection with the required accuracy and performance. Use of the detector as one of the stages helps solve the problem of identifying criminally significant information in video data of surveillance systems. The detector can also be used in other computer vision systems for detecting both moving and inactive objects on video recordings.
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Keywords: object detector, background subtraction, video analytics, object segmentation, medium frame, computer vision
For citation: Afanas'ev A. D., Prichko I. O., The detector of variable motion objects in the task of identifying forensically relevant information. Modeling, Optimization and Information Technology. 2021;9(2). URL: https://moitvivt.ru/ru/journal/pdf?id=928 DOI: 10.26102/2310-6018/2021.33.2.007 (In Russ).
Published 30.06.2021