| Issue |
E3S Web Conf.
Volume 363, 2022
XV International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2022”
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|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 10 | |
| Section | Environmental Education and Digital Solutions. Environmentally Responsible Behavior | |
| DOI | https://doi.org/10.1051/e3sconf/202236304005 | |
| Published online | 14 December 2022 | |
Simulation of pedestrian dynamics based withemantic trajectory segmentation
1 Moscow Aviation Institute (National Research University), Moscow, Russia
2 Moscow State University of Civil Engineering, 26, Yaroslavskoe sh., Moscow, 129337, Russia
* Corresponding author: 17andrew07@gmail.com
The article analyzes the existing methods of information processing necessary for the functioning of the system of intelligent control over unregulated pedestrian crossings based on aggregation and data processing by means of IOT. The state space model of the switching Kalman filter is considered, the development of mathematical software for the analysis and processing of information based on the results of intelligent control over unregulated pedestrian crossings, in particular with semantic segmentation of trajectories using agent-based models, is carried out. An MDA (Markov Decision Process) state space model is presented, a Hidden Markov Model (HMM) which has discrete hidden variables. The developments for the development of the following subsystems are presented: activity detector subsystem. Receives video frames as input, supports the static object model (background model) and returns the hotspot mask for the current frame; subsystems for detecting and tracking objects (pedestrians and cars). Based on the video frame and hotspot mask, it detects and accompanies objects of a given class, returning their coordinates; trajectory analysis subsystem. Analyzing the history of movement of pedestrians and cars, returns the facts of traffic violations.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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