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Appl Intell (Dordr) ; : 1-15, 2022 May 19.
Article in English | MEDLINE | ID: covidwho-2232800


Accurately estimating the size and density distribution of a crowd from images is of great importance to public safety and crowd management during the COVID-19 pandemic, but it is very challenging as it is affected by many complex factors, including perspective distortion and background noise information. In this paper, we propose a novel multi-resolution collaborative representation framework called the cascaded parallel network (CP-Net), consisting of three parallel scale-specific branches connected in a cascading mode. In the framework, the three cascaded multi-resolution branches efficiently capture multi-scale features through their specific receptive fields. Additionally, multi-level feature fusion and information filtering are performed continuously on each branch to resist noise interference and perspective distortion. Moreover, we design an information exchange module across independent branches to refine the features extracted by each specific branch and deal with perspective distortion by using complementary information of multiple resolutions. To further improve the robustness of the network to scale variance and generate high-quality density maps, we construct a multi-receptive field fusion module to aggregate multi-scale features more comprehensively. The performance of our proposed CP-Net is verified on the challenging counting datasets (UCF_CC_50, UCF-QNRF, Shanghai Tech A&B, and WorldExpo'10), and the experimental results demonstrate the superiority of the proposed method.

24th International Electronics Symposium, IES 2022 ; : 546-553, 2022.
Article in English | Scopus | ID: covidwho-2078221
2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2063246
2021 8th International Conference on Electrical Engineering, Computerscience and Informatics (Eecsi) 2021 ; : 359-364, 2021.
Article in English | Web of Science | ID: covidwho-2040793
Applied Intelligence ; 2022.
Article in English | Scopus | ID: covidwho-1930451
Elektrotehniski Vestnik/Electrotechnical Review ; 85(5):227-235, 2021.
Article in English | Scopus | ID: covidwho-1929459
9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022 ; 13258 LNCS:114-124, 2022.
Article in English | Scopus | ID: covidwho-1899007
2022 International Conference on Decision Aid Sciences and Applications, DASA 2022 ; : 1051-1056, 2022.
Article in English | Scopus | ID: covidwho-1872067
11th IEEE International Conference on Consumer Electronics, ICCE-Berlin 2021 ; 2021-November, 2021.
Article in English | Scopus | ID: covidwho-1767005
16th IEEE International Conference on Industrial and Information Systems, ICIIS 2021 ; : 29-34, 2021.
Article in English | Scopus | ID: covidwho-1700419
Neurocomputing ; 2022.
Article in English | ScienceDirect | ID: covidwho-1697904
8th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2021 ; 2021-October:359-364, 2021.
Article in English | Scopus | ID: covidwho-1644075