FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313269984> ?p ?o ?g. }

• W4313269984 abstract "Counting the number of people or objects in video or images is referred to as people counting. This technique has a wide range of applications in our daily lives, including urban planning, medical services, emergency management, public health and safety management, and military operations. In the context of challenges in the people counting process, models are subjected to a variety of difficulties, including occlusion, size fluctuation, perspective distortion, rotation, light variation, and variations in weather conditions. We propose an improved SSD (Single Shot Multiple Detection) object recognition technique based on Dense Convolutional Networks (Dense Net) and feature fusion (also called DF-SSD,). The objective of the proposed study is to recognize objects and estimate the count. The proposed DF-SSD model obtains a precision of 75.8%, 78.3%, 81.3% and 83.43% on VOC 2012, MS COCO, ICVL and KTH datasets respectively." @default.
• W4313269984 created "2023-01-06" @default.
• W4313269984 creator A5054362471 @default.
• W4313269984 creator A5074514195 @default.
• W4313269984 creator A5077664809 @default.
• W4313269984 date "2022-09-21" @default.
• W4313269984 modified "2023-09-28" @default.
• W4313269984 title "An Algorithm for Counting People using Dense Nets and Feature Fusion" @default.
• W4313269984 cites W1910776219 @default.
• W4313269984 cites W2027734244 @default.
• W4313269984 cites W2058907003 @default.
• W4313269984 cites W2155893237 @default.
• W4313269984 cites W2161957948 @default.
• W4313269984 cites W2194775991 @default.
• W4313269984 cites W2463631526 @default.
• W4313269984 cites W2514654788 @default.
• W4313269984 cites W2520200494 @default.
• W4313269984 cites W2729018917 @default.
• W4313269984 cites W2895051362 @default.
• W4313269984 cites W2912224090 @default.
• W4313269984 cites W2963499661 @default.
• W4313269984 cites W2963693541 @default.
• W4313269984 cites W2964209782 @default.
• W4313269984 cites W2967069910 @default.
• W4313269984 cites W2969620138 @default.
• W4313269984 cites W2982014038 @default.
• W4313269984 cites W3005363112 @default.
• W4313269984 cites W3123402296 @default.
• W4313269984 cites W4220890192 @default.
• W4313269984 doi "https://doi.org/10.1109/icirca54612.2022.9985562" @default.
• W4313269984 hasPublicationYear "2022" @default.
• W4313269984 type Work @default.
• W4313269984 citedByCount "0" @default.
• W4313269984 crossrefType "proceedings-article" @default.
• W4313269984 hasAuthorship W4313269984A5054362471 @default.
• W4313269984 hasAuthorship W4313269984A5074514195 @default.
• W4313269984 hasAuthorship W4313269984A5077664809 @default.
• W4313269984 hasConcept C111919701 @default.
• W4313269984 hasConcept C11413529 @default.
• W4313269984 hasConcept C115961682 @default.
• W4313269984 hasConcept C126780896 @default.
• W4313269984 hasConcept C12713177 @default.
• W4313269984 hasConcept C138885662 @default.
• W4313269984 hasConcept C151730666 @default.
• W4313269984 hasConcept C153180895 @default.
• W4313269984 hasConcept C154945302 @default.
• W4313269984 hasConcept C194257627 @default.
• W4313269984 hasConcept C2776151529 @default.
• W4313269984 hasConcept C2776257435 @default.
• W4313269984 hasConcept C2776401178 @default.
• W4313269984 hasConcept C2779343474 @default.
• W4313269984 hasConcept C2779989122 @default.
• W4313269984 hasConcept C2781238097 @default.
• W4313269984 hasConcept C31258907 @default.
• W4313269984 hasConcept C31972630 @default.
• W4313269984 hasConcept C41008148 @default.
• W4313269984 hasConcept C41895202 @default.
• W4313269984 hasConcept C52622490 @default.
• W4313269984 hasConcept C74050887 @default.
• W4313269984 hasConcept C81363708 @default.
• W4313269984 hasConcept C86803240 @default.
• W4313269984 hasConcept C98045186 @default.
• W4313269984 hasConceptScore W4313269984C111919701 @default.
• W4313269984 hasConceptScore W4313269984C11413529 @default.
• W4313269984 hasConceptScore W4313269984C115961682 @default.
• W4313269984 hasConceptScore W4313269984C126780896 @default.
• W4313269984 hasConceptScore W4313269984C12713177 @default.
• W4313269984 hasConceptScore W4313269984C138885662 @default.
• W4313269984 hasConceptScore W4313269984C151730666 @default.
• W4313269984 hasConceptScore W4313269984C153180895 @default.
• W4313269984 hasConceptScore W4313269984C154945302 @default.
• W4313269984 hasConceptScore W4313269984C194257627 @default.
• W4313269984 hasConceptScore W4313269984C2776151529 @default.
• W4313269984 hasConceptScore W4313269984C2776257435 @default.
• W4313269984 hasConceptScore W4313269984C2776401178 @default.
• W4313269984 hasConceptScore W4313269984C2779343474 @default.
• W4313269984 hasConceptScore W4313269984C2779989122 @default.
• W4313269984 hasConceptScore W4313269984C2781238097 @default.
• W4313269984 hasConceptScore W4313269984C31258907 @default.
• W4313269984 hasConceptScore W4313269984C31972630 @default.
• W4313269984 hasConceptScore W4313269984C41008148 @default.
• W4313269984 hasConceptScore W4313269984C41895202 @default.
• W4313269984 hasConceptScore W4313269984C52622490 @default.
• W4313269984 hasConceptScore W4313269984C74050887 @default.
• W4313269984 hasConceptScore W4313269984C81363708 @default.
• W4313269984 hasConceptScore W4313269984C86803240 @default.
• W4313269984 hasConceptScore W4313269984C98045186 @default.
• W4313269984 hasLocation W43132699841 @default.
• W4313269984 hasOpenAccess W4313269984 @default.
• W4313269984 hasPrimaryLocation W43132699841 @default.
• W4313269984 hasRelatedWork W1971759388 @default.
• W4313269984 hasRelatedWork W2007544051 @default.
• W4313269984 hasRelatedWork W2025800131 @default.
• W4313269984 hasRelatedWork W2059299633 @default.
• W4313269984 hasRelatedWork W2095705906 @default.
• W4313269984 hasRelatedWork W2129974284 @default.
• W4313269984 hasRelatedWork W2331674254 @default.
• W4313269984 hasRelatedWork W2801801420 @default.
• W4313269984 hasRelatedWork W2922421953 @default.
• W4313269984 hasRelatedWork W2975200075 @default.

• next