Real-Time Deep Learning Approach for Pedestrian Detection and Suspicious Activity Recognition

Author:

Gawande Ujwalla,Hajari Kamal,Golhar Yogesh

Publisher

Elsevier BV

Subject

General Engineering

Reference33 articles.

1. Using Crowd-source based features from social media and Conventional features to predict the movies popularity;Ahmed,2015

2. Tracking without bells and whistles;Bergmann,2019

3. Pedestrian Detection: An Evaluation of the State of the Art;Dollar;IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),2012

4. The MIT Supercloud Dataset;Samsi;International Cornell Journal of Distributed, Parallel, and Cluster Computing,2021

5. Vision-based pedestrian detection for rear-view cameras;Silberstein,2014

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2. A Critical Study on Suspicious Object Detection with Images and Videos Using Machine Learning Techniques;SN Computer Science;2024-04-29

3. YOLO-SpectraWatch: A Novel Architecture for Rapid Suspect Detection in Crowded Urban Environments;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18

4. Multi-Pedestrian Detection using Hybrid ML Algorithms for Autonomous Vehicles;2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET);2023-11-23

5. Role of Artificial Intelligence for Pedestrian Detection in IoV: A Systematic Review;2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA);2023-09-29

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