Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313444844> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W4313444844 endingPage "343" @default.
- W4313444844 startingPage "335" @default.
- W4313444844 abstract "In India, two-wheelers are one of the most common mode of transportation because it is affordable and economical for regular use. It is highly advisable for bike riders to wear a safety helmet to reduce the risk of head injury in case of road accidents. Therefore, the government has taken steps to enforce helmet for two wheeler riders and is the duty of traffic police to implement this rule. However, this increases the manual labor which is tedious and inadequate. To this end, this paper proposes an automated system which detects bike riders without helmets from surveillance videos. Three prevailing object detection models such as YOLOv4, SSD and Faster R-CNN have been used for the task automatic helmet detection and evaluated the corresponding performance. All these models have been compared and contrasted on the basis of execution time and detection accuracy. From the experimental results, it is evident that the YOLOv4 model exhibits higher detection rate and at the same time achieves consistent mAP scores as opposed to the rest of the models, and thus, it can be applied to real-time helmet detection task." @default.
- W4313444844 created "2023-01-06" @default.
- W4313444844 creator A5001813486 @default.
- W4313444844 creator A5077359347 @default.
- W4313444844 date "2023-01-01" @default.
- W4313444844 modified "2023-09-26" @default.
- W4313444844 title "Automatic Helmet Detection: A Deep Learning Perspective" @default.
- W4313444844 cites W1976017491 @default.
- W4313444844 cites W2094778993 @default.
- W4313444844 cites W2549635795 @default.
- W4313444844 cites W2616404935 @default.
- W4313444844 cites W2735042944 @default.
- W4313444844 cites W2797047031 @default.
- W4313444844 cites W2938509487 @default.
- W4313444844 cites W2963351448 @default.
- W4313444844 cites W2964184470 @default.
- W4313444844 cites W3013901957 @default.
- W4313444844 cites W3090815485 @default.
- W4313444844 cites W3106250896 @default.
- W4313444844 cites W3167999093 @default.
- W4313444844 cites W3210928118 @default.
- W4313444844 doi "https://doi.org/10.1007/978-981-19-2358-6_32" @default.
- W4313444844 hasPublicationYear "2023" @default.
- W4313444844 type Work @default.
- W4313444844 citedByCount "0" @default.
- W4313444844 crossrefType "book-chapter" @default.
- W4313444844 hasAuthorship W4313444844A5001813486 @default.
- W4313444844 hasAuthorship W4313444844A5077359347 @default.
- W4313444844 hasConcept C107457646 @default.
- W4313444844 hasConcept C108583219 @default.
- W4313444844 hasConcept C119857082 @default.
- W4313444844 hasConcept C12713177 @default.
- W4313444844 hasConcept C127413603 @default.
- W4313444844 hasConcept C153180895 @default.
- W4313444844 hasConcept C154945302 @default.
- W4313444844 hasConcept C201995342 @default.
- W4313444844 hasConcept C2776151529 @default.
- W4313444844 hasConcept C2780451532 @default.
- W4313444844 hasConcept C41008148 @default.
- W4313444844 hasConcept C44154836 @default.
- W4313444844 hasConcept C48677424 @default.
- W4313444844 hasConcept C79403827 @default.
- W4313444844 hasConceptScore W4313444844C107457646 @default.
- W4313444844 hasConceptScore W4313444844C108583219 @default.
- W4313444844 hasConceptScore W4313444844C119857082 @default.
- W4313444844 hasConceptScore W4313444844C12713177 @default.
- W4313444844 hasConceptScore W4313444844C127413603 @default.
- W4313444844 hasConceptScore W4313444844C153180895 @default.
- W4313444844 hasConceptScore W4313444844C154945302 @default.
- W4313444844 hasConceptScore W4313444844C201995342 @default.
- W4313444844 hasConceptScore W4313444844C2776151529 @default.
- W4313444844 hasConceptScore W4313444844C2780451532 @default.
- W4313444844 hasConceptScore W4313444844C41008148 @default.
- W4313444844 hasConceptScore W4313444844C44154836 @default.
- W4313444844 hasConceptScore W4313444844C48677424 @default.
- W4313444844 hasConceptScore W4313444844C79403827 @default.
- W4313444844 hasLocation W43134448441 @default.
- W4313444844 hasOpenAccess W4313444844 @default.
- W4313444844 hasPrimaryLocation W43134448441 @default.
- W4313444844 hasRelatedWork W2883677709 @default.
- W4313444844 hasRelatedWork W2970686063 @default.
- W4313444844 hasRelatedWork W3014300295 @default.
- W4313444844 hasRelatedWork W4223943233 @default.
- W4313444844 hasRelatedWork W4225161397 @default.
- W4313444844 hasRelatedWork W4312200629 @default.
- W4313444844 hasRelatedWork W4360585206 @default.
- W4313444844 hasRelatedWork W4364306694 @default.
- W4313444844 hasRelatedWork W4380075502 @default.
- W4313444844 hasRelatedWork W4380086463 @default.
- W4313444844 isParatext "false" @default.
- W4313444844 isRetracted "false" @default.
- W4313444844 workType "book-chapter" @default.