Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308085851> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W4308085851 abstract "A lot of traffic accidents caused by traffic violations gave rise to an idea to develop an Advanced Driver Assistance System (ADAS) technology. Challenge in developing ADAS is how the system can recognize the environment on the highway, one of which is Traffic Sign Detection and Recognition (TSDR). Therefore, this study proposes a traffic sign detection model on German Traffic Sign Detection Benchmarks (GTSDB) dataset using HSV color segmentation and combined with Maximally Stable Extremal Regions (MSERs). In addition, morphological processes are carried out to reduce noise, with erosion and dilation followed by the calculation of the area and calculation of the aspect ratio. Color segmentation and morphological processes produce Region of Interests (ROIs). For each ROIs, feature extraction is performed using the Histogram of Oriented Gradients (HOG). To determine whether an ROIs is a traffic sign or not, classification is carried out using Support Vector Machine (SVM), Random Forest and K Nearest Neighbors (KNN). The accuracy results are HOG+SVM 79.05%, HOG+Random Forest 79.64%, and HOG+ KNN 81.65%." @default.
- W4308085851 created "2022-11-08" @default.
- W4308085851 creator A5008144457 @default.
- W4308085851 creator A5032660116 @default.
- W4308085851 creator A5067455554 @default.
- W4308085851 creator A5073020135 @default.
- W4308085851 creator A5078994329 @default.
- W4308085851 creator A5084920448 @default.
- W4308085851 creator A5088073069 @default.
- W4308085851 creator A5088117629 @default.
- W4308085851 date "2022-09-28" @default.
- W4308085851 modified "2023-09-26" @default.
- W4308085851 title "Comparison of SVM, Random Forest and KNN Classification By Using HOG on Traffic Sign Detection" @default.
- W4308085851 doi "https://doi.org/10.1109/icicos56336.2022.9930588" @default.
- W4308085851 hasPublicationYear "2022" @default.
- W4308085851 type Work @default.
- W4308085851 citedByCount "0" @default.
- W4308085851 crossrefType "proceedings-article" @default.
- W4308085851 hasAuthorship W4308085851A5008144457 @default.
- W4308085851 hasAuthorship W4308085851A5032660116 @default.
- W4308085851 hasAuthorship W4308085851A5067455554 @default.
- W4308085851 hasAuthorship W4308085851A5073020135 @default.
- W4308085851 hasAuthorship W4308085851A5078994329 @default.
- W4308085851 hasAuthorship W4308085851A5084920448 @default.
- W4308085851 hasAuthorship W4308085851A5088073069 @default.
- W4308085851 hasAuthorship W4308085851A5088117629 @default.
- W4308085851 hasConcept C115961682 @default.
- W4308085851 hasConcept C12267149 @default.
- W4308085851 hasConcept C134306372 @default.
- W4308085851 hasConcept C139676723 @default.
- W4308085851 hasConcept C153180895 @default.
- W4308085851 hasConcept C154945302 @default.
- W4308085851 hasConcept C169258074 @default.
- W4308085851 hasConcept C17426736 @default.
- W4308085851 hasConcept C2983860417 @default.
- W4308085851 hasConcept C31972630 @default.
- W4308085851 hasConcept C33923547 @default.
- W4308085851 hasConcept C41008148 @default.
- W4308085851 hasConcept C52622490 @default.
- W4308085851 hasConcept C53533937 @default.
- W4308085851 hasConcept C6528762 @default.
- W4308085851 hasConcept C89600930 @default.
- W4308085851 hasConceptScore W4308085851C115961682 @default.
- W4308085851 hasConceptScore W4308085851C12267149 @default.
- W4308085851 hasConceptScore W4308085851C134306372 @default.
- W4308085851 hasConceptScore W4308085851C139676723 @default.
- W4308085851 hasConceptScore W4308085851C153180895 @default.
- W4308085851 hasConceptScore W4308085851C154945302 @default.
- W4308085851 hasConceptScore W4308085851C169258074 @default.
- W4308085851 hasConceptScore W4308085851C17426736 @default.
- W4308085851 hasConceptScore W4308085851C2983860417 @default.
- W4308085851 hasConceptScore W4308085851C31972630 @default.
- W4308085851 hasConceptScore W4308085851C33923547 @default.
- W4308085851 hasConceptScore W4308085851C41008148 @default.
- W4308085851 hasConceptScore W4308085851C52622490 @default.
- W4308085851 hasConceptScore W4308085851C53533937 @default.
- W4308085851 hasConceptScore W4308085851C6528762 @default.
- W4308085851 hasConceptScore W4308085851C89600930 @default.
- W4308085851 hasLocation W43080858511 @default.
- W4308085851 hasOpenAccess W4308085851 @default.
- W4308085851 hasPrimaryLocation W43080858511 @default.
- W4308085851 hasRelatedWork W1964230011 @default.
- W4308085851 hasRelatedWork W2087874231 @default.
- W4308085851 hasRelatedWork W2363530787 @default.
- W4308085851 hasRelatedWork W2550539038 @default.
- W4308085851 hasRelatedWork W2754350655 @default.
- W4308085851 hasRelatedWork W2999548501 @default.
- W4308085851 hasRelatedWork W3004377704 @default.
- W4308085851 hasRelatedWork W3101572448 @default.
- W4308085851 hasRelatedWork W3209358399 @default.
- W4308085851 hasRelatedWork W4308085851 @default.
- W4308085851 isParatext "false" @default.
- W4308085851 isRetracted "false" @default.
- W4308085851 workType "article" @default.