Suspicious detection in road traffic based on Kd-SLIC-K-means and SBAF-CNN using aerial view surveillance video.

Raj Kumar Patra, Saurabh Bhattacharya, Md Rashid Mahmood, Naresh Kumar Kar, Parul Dubey, Rohit Raja, Sonu Agrawal

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Raj Kumar PatraSchool of Engineering and Technology, Kaveri University, Gowraram, Wargal Mandal, Siddipet, Telangana, India.

Saurabh BhattacharyaSCSE, Galgotias University, Greater Noida, UP, India.

Md Rashid MahmoodDepartment of ECE, UIET , Guru Nanak University, Hyderabad, India.

Naresh Kumar KarGITAM Deemed to be University, Hyderabad, India.

Parul DubeySymbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), Pune, India. parul.dubey@sitnagpur.siu.edu.in.

Rohit RajaDepartment of Information Technology, Guru Ghasidas Vishwavidyalaya, Bilaspur, CG, India.

Sonu AgrawalComputer Science and Engineering, Shri Shankaracharya Technical Campus, Bhilai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper provides a suspicious activity detection framework in road traffic based on aerial surveillance video, which combines Kd-SLIC-K-means clustering and SBAF-CNN. The suggested technique will be used to improve object segmentation and classification to give better detection results. The aerial traffic datasets are experimentally evaluated and the model has an accuracy of 98.97, which is better than the current methods. The findings show that the suggested approach can help to detect suspicious patterns in traffic situations. Nevertheless, the model has been tested under certain conditions and additional tests on large scale and diverse data sets are needed to establish its generalizability in real world scenarios.

Indexed as

Aerial view surveillanceAnd accident detectionDistance surface block matching (DistSurf-BM)Grab cut algorithm (GCA)Kendall distance- simple linear iterative clustering- K-means (Kd-SLIC-K-means)Regula falsi integro differential operator (RF-IDO)Saha-bora activation function-convolutional neural network (SBAF-CNN)Tilt angle of horizontal gradient guided filter (THG-GF)Traffic anomaly detection

Identifiers

PMID42086702

DOI10.1038/s41598-026-51420-2

PMCPMC13333798

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LicenceCC BY-NC-ND

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