An Extensive Study on Unattended Object Detection in Video Surveillance-Reference-Cited by-同舟云学术

An Extensive Study on Unattended Object Detection in Video Surveillance

Published:2023 Issue: Volume: Page:183-193
ISSN:2367-3370
Container-title:Intelligent Sustainable Systems
language:
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Author:

Grandhe Padmaja,Dhanush Ponnuri Bhavani,Mohammad Muskaan,Lakshmi Atmakuri Nikhita Alekhya Adhi,Kumar Chakka Venkata Sai Rohit

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-1726-6_14

Reference25 articles.

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2. Padmanabhuni SS, Gera P (2022) Synthetic data augmentation of tomato plant leaf using meta ıntelligent generative adversarial network: milgan. Int J Adv Comput Sci Appl (IJACSA) 13(6). https://doi.org/10.14569/IJACSA.2022.013062

3. Rao PV, Reddy AM, Reddy KS, Narayana JL (2022)Neural network aided optimized auto encoder and decoder for detection of COVID -19 and pneumonia using CT- scan. J Theor Appl Inf Technol 100(21): 6346–6360. Accessed 15 Nov 2022

4. Sathesh A, Hamdan YB (2021) Speedy detection module for abandoned belongings in airport using ımproved ımage processing technique. J Trends Comput Sci Smart Technol 3(4):251–262. https://doi.org/10.36548/jtcsst.2021.4.001

5. Sharma S, Dhama V (2019) Abnormal human behavior detection in video using suspicious object detection. Springer Nature Singapore Pte Ltd. 2020, ICDSMLA 2019, Lecture notes in electrical engineering, vol 601, pp 379–388. https://doi.org/10.1007/978-981-15-1420-3_39

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