A Robust and Efficient Overhead People Counting System for Retail Applications-Reference-Cited by-同舟云学术

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A Robust and Efficient Overhead People Counting System for Retail Applications

Published:2022 Issue: Volume: Page:139-150
ISSN:0302-9743
Container-title:Image Analysis and Processing – ICIAP 2022
language:
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Author:

Greco Antonio,Saggese Alessia,Vento Bruno

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-06430-2_12

Reference20 articles.

1. Ahmad, M., Ahmed, I., Ullah, K., Ahmad, M.: A deep neural network approach for top view people detection and counting. In: 2019 IEEE 10th Annual Ubiquitous Computing, Electronics Mobile Communication Conference (UEMCON), pp. 1082–1088 (2019). https://doi.org/10.1109/UEMCON47517.2019.8993109

2. Carletti, V., Del Pizzo, L., Percannella, G., Vento, M.: An efficient and effective method for people detection from top-view depth cameras. In: 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 1–6 (2017). https://doi.org/10.1109/AVSS.2017.8078531

3. Smart Innovation, Systems and Technologies;F Castelo-Branco,2020

4. Choi, J.H., Kim, J.E., Jeong, N.H., Kim, K.T., Jin, S.H.: Accurate people counting based on radar: deep learning approach. In: 2020 IEEE Radar Conference (RadarConf20), pp. 1–5 (2020). https://doi.org/10.1109/RadarConf2043947.2020.9266496

5. Cruz, M., Keh, J.J., Deticio, R., Tan, C.V., Jose, J.A., Dadios, E.: A people counting system for use in CCTV cameras in retail. In: 2020 IEEE 12th International Conference on HNICEM, pp. 1–6. IEEE (2020)

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1. Fast and Effective Detection of Personal Protective Equipment on Smart Cameras;Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges;2023

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