Matches in SemOpenAlex for { <https://semopenalex.org/work/W2529221783> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2529221783 abstract "The object detection is a very important technique in computer vision which is mainly used in many applications. Many papers have addressed this problem and proposed different methods to improve the accuracy of detectors. The main disadvantages of common methods in object detection are high time complexity, wrong object detection, not detecting objects. Extracting features and classification are two step of detecting objects. In this paper, a new method is presented to improve some of the disadvantages using Histograms of Oriented Gradient (HOG) as feature extractor and artificial neural network combined with Adaboost (NeurAda) as a classifier to cover weak points of previous works. To evaluate the proposed method, NeurAda was compared to the three top obtained results of Pascal VOC 2011 methods in three categories. NeurAda improved car detection by 8.6%, bicycle detection by 0.8% and pedestrian detection by 5.2% in comparison to best results of Pascal VOC 2011." @default.
- W2529221783 created "2016-10-14" @default.
- W2529221783 creator A5080352434 @default.
- W2529221783 creator A5087353897 @default.
- W2529221783 date "2016-08-07" @default.
- W2529221783 modified "2023-09-23" @default.
- W2529221783 title "NeurAda: Combining artificial neural network and Adaboost for accurate object detection" @default.
- W2529221783 doi "https://doi.org/10.47164/ijngc.v7i2.313" @default.
- W2529221783 hasPublicationYear "2016" @default.
- W2529221783 type Work @default.
- W2529221783 sameAs 2529221783 @default.
- W2529221783 citedByCount "0" @default.
- W2529221783 crossrefType "proceedings-article" @default.
- W2529221783 hasAuthorship W2529221783A5080352434 @default.
- W2529221783 hasAuthorship W2529221783A5087353897 @default.
- W2529221783 hasConcept C115961682 @default.
- W2529221783 hasConcept C117978034 @default.
- W2529221783 hasConcept C127413603 @default.
- W2529221783 hasConcept C141404830 @default.
- W2529221783 hasConcept C153180895 @default.
- W2529221783 hasConcept C154945302 @default.
- W2529221783 hasConcept C17426736 @default.
- W2529221783 hasConcept C182521987 @default.
- W2529221783 hasConcept C199360897 @default.
- W2529221783 hasConcept C21880701 @default.
- W2529221783 hasConcept C22212356 @default.
- W2529221783 hasConcept C2776151529 @default.
- W2529221783 hasConcept C2777113093 @default.
- W2529221783 hasConcept C2780156472 @default.
- W2529221783 hasConcept C31510193 @default.
- W2529221783 hasConcept C31972630 @default.
- W2529221783 hasConcept C41008148 @default.
- W2529221783 hasConcept C4641261 @default.
- W2529221783 hasConcept C50644808 @default.
- W2529221783 hasConcept C52622490 @default.
- W2529221783 hasConcept C53533937 @default.
- W2529221783 hasConcept C71681937 @default.
- W2529221783 hasConcept C75608658 @default.
- W2529221783 hasConcept C76155785 @default.
- W2529221783 hasConcept C94915269 @default.
- W2529221783 hasConcept C95623464 @default.
- W2529221783 hasConceptScore W2529221783C115961682 @default.
- W2529221783 hasConceptScore W2529221783C117978034 @default.
- W2529221783 hasConceptScore W2529221783C127413603 @default.
- W2529221783 hasConceptScore W2529221783C141404830 @default.
- W2529221783 hasConceptScore W2529221783C153180895 @default.
- W2529221783 hasConceptScore W2529221783C154945302 @default.
- W2529221783 hasConceptScore W2529221783C17426736 @default.
- W2529221783 hasConceptScore W2529221783C182521987 @default.
- W2529221783 hasConceptScore W2529221783C199360897 @default.
- W2529221783 hasConceptScore W2529221783C21880701 @default.
- W2529221783 hasConceptScore W2529221783C22212356 @default.
- W2529221783 hasConceptScore W2529221783C2776151529 @default.
- W2529221783 hasConceptScore W2529221783C2777113093 @default.
- W2529221783 hasConceptScore W2529221783C2780156472 @default.
- W2529221783 hasConceptScore W2529221783C31510193 @default.
- W2529221783 hasConceptScore W2529221783C31972630 @default.
- W2529221783 hasConceptScore W2529221783C41008148 @default.
- W2529221783 hasConceptScore W2529221783C4641261 @default.
- W2529221783 hasConceptScore W2529221783C50644808 @default.
- W2529221783 hasConceptScore W2529221783C52622490 @default.
- W2529221783 hasConceptScore W2529221783C53533937 @default.
- W2529221783 hasConceptScore W2529221783C71681937 @default.
- W2529221783 hasConceptScore W2529221783C75608658 @default.
- W2529221783 hasConceptScore W2529221783C76155785 @default.
- W2529221783 hasConceptScore W2529221783C94915269 @default.
- W2529221783 hasConceptScore W2529221783C95623464 @default.
- W2529221783 hasIssue "2" @default.
- W2529221783 hasLocation W25292217831 @default.
- W2529221783 hasOpenAccess W2529221783 @default.
- W2529221783 hasPrimaryLocation W25292217831 @default.
- W2529221783 hasRelatedWork W1510655604 @default.
- W2529221783 hasRelatedWork W1550641785 @default.
- W2529221783 hasRelatedWork W1983617459 @default.
- W2529221783 hasRelatedWork W2009549839 @default.
- W2529221783 hasRelatedWork W2091531524 @default.
- W2529221783 hasRelatedWork W2112129257 @default.
- W2529221783 hasRelatedWork W2130560704 @default.
- W2529221783 hasRelatedWork W2149495871 @default.
- W2529221783 hasRelatedWork W2160658167 @default.
- W2529221783 hasRelatedWork W2292957941 @default.
- W2529221783 hasRelatedWork W2604101178 @default.
- W2529221783 hasRelatedWork W2611543110 @default.
- W2529221783 hasRelatedWork W2791998051 @default.
- W2529221783 hasRelatedWork W2792319557 @default.
- W2529221783 hasRelatedWork W2913370212 @default.
- W2529221783 hasRelatedWork W2944446935 @default.
- W2529221783 hasRelatedWork W2981020180 @default.
- W2529221783 hasRelatedWork W3090063164 @default.
- W2529221783 hasRelatedWork W3095850880 @default.
- W2529221783 hasRelatedWork W2183105726 @default.
- W2529221783 hasVolume "7" @default.
- W2529221783 isParatext "false" @default.
- W2529221783 isRetracted "false" @default.
- W2529221783 magId "2529221783" @default.
- W2529221783 workType "article" @default.