Deep Crowd Analysis to Spot Social Distancing Violations in Post-COVID 19 Lifestyle-Reference-Cited by-同舟云学术

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Deep Crowd Analysis to Spot Social Distancing Violations in Post-COVID 19 Lifestyle

Published:2022-12-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 7th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)
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Author:

Narayanan S. Sankara¹,Nesarani A.²,Raghav R. S.³,Robert Singh A.⁴,Athisayamani Suganya³

Affiliation:

1. VelTech Rangarajan Dr.Sahunthala R&D Institute of Science and Technology,Department of CSE,Avadi, Chennai,Tamil Nadu,India

2. Koneru Lakshmaiah Education Foundation, Vadeeswaram,Department of Computer Science and Engineering,Guntur,Andra Pradesh,India

3. School of Computing Sastra Deemed to be University,Thanjavur,Tamil Nadu,India

4. SRM Institute of Science and Technology,Department of Computational Intelligence School of Computing,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10054178/10054183/10054338.pdf?arnumber=10054338

Reference13 articles.

1. Simple online and realtime tracking

2. Classification of Banana Leaf Diseases Using Enhanced Gabor Feature Descriptor

3. Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor

4. Multi-class Multi-object Tracking Using Changing Point Detection

5. Faster R-CNN: Towards realtime object detection with region proposal networks;ren;Advances in neural information processing systems,2015

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