Enhancing Detection Quality Rate with a Combined HOG and CNN for Real-Time Multiple Object Tracking across Non-Overlapping Multiple Cameras

Multi-object tracking in video surveillance is subjected to illumination variation, blurring, motion, and similarity variations during the identification process in real-world practice. The previously proposed applications have difficulties in learning the appearances and differentiating the objects...

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Detalles Bibliográficos
Autores principales: Kalake, Lesole, Dong, Yanqiu, Wan, Wanggen, Hou, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949134/
https://www.ncbi.nlm.nih.gov/pubmed/35336294
http://dx.doi.org/10.3390/s22062123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949134/
https://www.ncbi.nlm.nih.gov/pubmed/35336294
http://dx.doi.org/10.3390/s22062123

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