Matches in SemOpenAlex for { <https://semopenalex.org/work/W3107423114> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W3107423114 abstract "This work is related to building a Seatbelt Detection system based on Fully Connected One Shot (FCOS). It is one of the most recent Deep Learning approaches primitively built using single shot detection proposal. Unlike the double stage region-based object detection schemes this technique do not follow semantic segmentation, it does not undergo loss of the object information such as disappearance of the gradients and it does not require pre-defined anchors. This technique comprises strong feature extractors and reinforce multi scale object detection and it is very quick in the multithreaded GPU environments. Since our fundamental research is concentrated on object classification related to ADAS applications, as a first step we choose to detect the drivers and co-passengers of a four-wheeler vehicle not wearing seatbelts from thermal dataset. Therefore, we used thermal images and videos possessed from thermal cameras 5m to 20m away from the vehicles as our dataset in building the model and testing. The FCOS extracts the features of an object using its efficient per-pixel fashion. Finally, the performance analysis of these model in terms of mean Average Precision (mAP) indicates that the modelling using FCOS performs in a promising way and it can be used in automatic seatbelt detection systems." @default.
- W3107423114 created "2020-12-07" @default.
- W3107423114 creator A5050994961 @default.
- W3107423114 date "2020-10-02" @default.
- W3107423114 modified "2023-09-25" @default.
- W3107423114 title "FCOS Based Seatbelt Detection System Using Thermal Imaging for Monitoring Traffic Rule Violations" @default.
- W3107423114 cites W1512197020 @default.
- W3107423114 cites W1536680647 @default.
- W3107423114 cites W1903127635 @default.
- W3107423114 cites W2109255472 @default.
- W3107423114 cites W2125556102 @default.
- W3107423114 cites W2138001076 @default.
- W3107423114 cites W2161969291 @default.
- W3107423114 cites W2486449641 @default.
- W3107423114 cites W2806178426 @default.
- W3107423114 cites W2893639310 @default.
- W3107423114 cites W2912720418 @default.
- W3107423114 cites W2957667237 @default.
- W3107423114 cites W2963037989 @default.
- W3107423114 cites W2963881378 @default.
- W3107423114 cites W3010229855 @default.
- W3107423114 cites W3034682339 @default.
- W3107423114 cites W3035726901 @default.
- W3107423114 cites W4250482878 @default.
- W3107423114 cites W639708223 @default.
- W3107423114 doi "https://doi.org/10.1109/iementech51367.2020.9270058" @default.
- W3107423114 hasPublicationYear "2020" @default.
- W3107423114 type Work @default.
- W3107423114 sameAs 3107423114 @default.
- W3107423114 citedByCount "2" @default.
- W3107423114 countsByYear W31074231142020 @default.
- W3107423114 countsByYear W31074231142022 @default.
- W3107423114 crossrefType "proceedings-article" @default.
- W3107423114 hasAuthorship W3107423114A5050994961 @default.
- W3107423114 hasConcept C127413603 @default.
- W3107423114 hasConcept C22212356 @default.
- W3107423114 hasConcept C2985695025 @default.
- W3107423114 hasConcept C38652104 @default.
- W3107423114 hasConcept C41008148 @default.
- W3107423114 hasConcept C79403827 @default.
- W3107423114 hasConceptScore W3107423114C127413603 @default.
- W3107423114 hasConceptScore W3107423114C22212356 @default.
- W3107423114 hasConceptScore W3107423114C2985695025 @default.
- W3107423114 hasConceptScore W3107423114C38652104 @default.
- W3107423114 hasConceptScore W3107423114C41008148 @default.
- W3107423114 hasConceptScore W3107423114C79403827 @default.
- W3107423114 hasLocation W31074231141 @default.
- W3107423114 hasOpenAccess W3107423114 @default.
- W3107423114 hasPrimaryLocation W31074231141 @default.
- W3107423114 hasRelatedWork W1519398290 @default.
- W3107423114 hasRelatedWork W2030496847 @default.
- W3107423114 hasRelatedWork W2056851291 @default.
- W3107423114 hasRelatedWork W2363207358 @default.
- W3107423114 hasRelatedWork W2363789696 @default.
- W3107423114 hasRelatedWork W2889205661 @default.
- W3107423114 hasRelatedWork W2972412491 @default.
- W3107423114 hasRelatedWork W3007967230 @default.
- W3107423114 hasRelatedWork W3164102603 @default.
- W3107423114 hasRelatedWork W4313313264 @default.
- W3107423114 isParatext "false" @default.
- W3107423114 isRetracted "false" @default.
- W3107423114 magId "3107423114" @default.
- W3107423114 workType "article" @default.