Covid-19 Social Distance Identification and Suspicious Activity Detection in Local and Remote Environments
Abstract & Details
Research Area
Electrical and Electronics Engineering
Keywords
Loitering
behavior recognition
Social distancing object tracking
fainting
blob matching
fighting
meeting
and occlusion
Abstract
The use of video surveillance to identify suspicious actions in public movement areas has drew the attention of a growing number of current technologies. Offline video automated processing prototypes have been used to monitor different types of events, including riots and forensics inspections. Nonetheless, relatively little progress has been made in terms of event recognition. In this paper, we propose a structure for processing original video received from a stationary colour camera located in a suitable region and drawing real-time judgments about the observed tasks. First, utilising a blob matching methodology, this proposed structure obtains 2D and 3-D object level inputs by recognising, detecting, and tracing persons in the scenario. Using object and inter-object motion characteristics, based on the derived spatial temporal features of recognised blobs and behaviours.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Mahanthesha U | GSSS Institute of Engineering & Technology for Women, Mysuru, Karnataka, INDIA |
| 2 | Dr. H S Mohana | NAVKIS College of Engineering, Hassan, Karnataka, INDIA |
How to Cite
Use the following formats to cite this article in your research.
APA Style
U, Mahanthesha & Mohana, Dr. H S (2021). Covid-19 Social Distance Identification and Suspicious Activity Detection in Local and Remote Environments. International Journal of Advance Research and Innovative Ideas In Education, 7(6), 1003-1011.
MLA Style
U, Mahanthesha, and Dr. H S Mohana. "Covid-19 Social Distance Identification and Suspicious Activity Detection in Local and Remote Environments." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 6, 2021, pp. 1003-1011.
IEEE Style
Mahanthesha U and Dr. H S Mohana, "Covid-19 Social Distance Identification and Suspicious Activity Detection in Local and Remote Environments," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 6, pp. 1003-1011, 2021.
Vancouver Style
U Mahanthesha, Mohana Dr. H S. Covid-19 Social Distance Identification and Suspicious Activity Detection in Local and Remote Environments. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(6):1003-1011.
Harvard Style
U, Mahanthesha & Mohana, Dr. H S (2021) 'Covid-19 Social Distance Identification and Suspicious Activity Detection in Local and Remote Environments', International Journal of Advance Research and Innovative Ideas In Education, 7(6), pp. 1003-1011.
Chicago Style
U, Mahanthesha and Dr. H S Mohana. "Covid-19 Social Distance Identification and Suspicious Activity Detection in Local and Remote Environments." International Journal of Advance Research and Innovative Ideas In Education 7, no. 6 (2021): 1003-1011.
Turabian Style
U, Mahanthesha and Dr. H S Mohana. "Covid-19 Social Distance Identification and Suspicious Activity Detection in Local and Remote Environments." International Journal of Advance Research and Innovative Ideas In Education 7, no. 6 (2021): 1003-1011.
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