FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912927503> ?p ?o ?g. }

• W2912927503 abstract "Object tracking is the automatic determining of position and size information of the target object in a video along the frames. Object tracking methods generally use a search area in a smaller size, rather than using an entire frame view to extract position and size information of any frame target object. This search area is usually chosen so that the object position in the previous frame is centered and will be “k” times the object size. In the general, after the object position in the frame is determined, the relevant object in the search area is taken as positive and the remaining part is taken as negative and classifier updates are made. In this way, the object can be strong against the appearance changes throughout the frame. The size of the search area in the frame directly affects object tracking performance and speed performance. The oversized selection of the search area can reduce speed performance on object tracking while allowing a more powerful classifier to be trained. Likewise, if the search area is selected too small, then the object will run at very high speeds. In this study, an adaptive search area (UAA) algorithm is proposed, which can adaptive select the search area used for object tracking. The developed UAA algorithm is applied to HCFT (Hierarchical Convolutional Features for Visual Tracking) method for the determine the effects on tracking performance. Then, practical tests were conducted to compare with the original HCFT method. As a result of the tests, UAA method has been found to give very strong results in terms of speed and performance. With the UAA algorithm developed, object detection can be performed at higher speeds, keeping the search area small in video scenarios. On the other hand, in difficult scenarios, the object tracking accuracy is improved by keeping the search area larger. Thanks to the improved UAA algorithm, it has made object tracking at higher speeds by reducing the search area in video scenarios in which the object detection is simple. On the other hand, in difficult scenarios, the object tracking accuracy is improved by keeping the search area larger." @default.
• W2912927503 created "2019-02-21" @default.
• W2912927503 creator A5071642067 @default.
• W2912927503 creator A5080412755 @default.
• W2912927503 date "2018-09-01" @default.
• W2912927503 modified "2023-09-26" @default.
• W2912927503 title "Adaptive Search Area in the Object Tracking" @default.
• W2912927503 cites W1686810756 @default.
• W2912927503 cites W1948657956 @default.
• W2912927503 cites W1995903777 @default.
• W2912927503 cites W2089961441 @default.
• W2912927503 cites W2126302311 @default.
• W2912927503 cites W2214352687 @default.
• W2912927503 cites W2470394683 @default.
• W2912927503 cites W2605381261 @default.
• W2912927503 cites W2738318237 @default.
• W2912927503 cites W2767302379 @default.
• W2912927503 cites W2964253307 @default.
• W2912927503 doi "https://doi.org/10.1109/idap.2018.8620778" @default.
• W2912927503 hasPublicationYear "2018" @default.
• W2912927503 type Work @default.
• W2912927503 sameAs 2912927503 @default.
• W2912927503 citedByCount "0" @default.
• W2912927503 crossrefType "proceedings-article" @default.
• W2912927503 hasAuthorship W2912927503A5071642067 @default.
• W2912927503 hasAuthorship W2912927503A5080412755 @default.
• W2912927503 hasConcept C10138342 @default.
• W2912927503 hasConcept C126042441 @default.
• W2912927503 hasConcept C153180895 @default.
• W2912927503 hasConcept C154945302 @default.
• W2912927503 hasConcept C15744967 @default.
• W2912927503 hasConcept C162324750 @default.
• W2912927503 hasConcept C19417346 @default.
• W2912927503 hasConcept C198082294 @default.
• W2912927503 hasConcept C202474056 @default.
• W2912927503 hasConcept C2775936607 @default.
• W2912927503 hasConcept C2781238097 @default.
• W2912927503 hasConcept C31972630 @default.
• W2912927503 hasConcept C41008148 @default.
• W2912927503 hasConcept C76155785 @default.
• W2912927503 hasConcept C95623464 @default.
• W2912927503 hasConceptScore W2912927503C10138342 @default.
• W2912927503 hasConceptScore W2912927503C126042441 @default.
• W2912927503 hasConceptScore W2912927503C153180895 @default.
• W2912927503 hasConceptScore W2912927503C154945302 @default.
• W2912927503 hasConceptScore W2912927503C15744967 @default.
• W2912927503 hasConceptScore W2912927503C162324750 @default.
• W2912927503 hasConceptScore W2912927503C19417346 @default.
• W2912927503 hasConceptScore W2912927503C198082294 @default.
• W2912927503 hasConceptScore W2912927503C202474056 @default.
• W2912927503 hasConceptScore W2912927503C2775936607 @default.
• W2912927503 hasConceptScore W2912927503C2781238097 @default.
• W2912927503 hasConceptScore W2912927503C31972630 @default.
• W2912927503 hasConceptScore W2912927503C41008148 @default.
• W2912927503 hasConceptScore W2912927503C76155785 @default.
• W2912927503 hasConceptScore W2912927503C95623464 @default.
• W2912927503 hasLocation W29129275031 @default.
• W2912927503 hasOpenAccess W2912927503 @default.
• W2912927503 hasPrimaryLocation W29129275031 @default.
• W2912927503 hasRelatedWork W1593117803 @default.
• W2912927503 hasRelatedWork W2032801422 @default.
• W2912927503 hasRelatedWork W2070697465 @default.
• W2912927503 hasRelatedWork W2124399037 @default.
• W2912927503 hasRelatedWork W2612376223 @default.
• W2912927503 hasRelatedWork W2783980107 @default.
• W2912927503 hasRelatedWork W2789220062 @default.
• W2912927503 hasRelatedWork W3004806028 @default.
• W2912927503 hasRelatedWork W3177406559 @default.
• W2912927503 hasRelatedWork W2091015105 @default.
• W2912927503 isParatext "false" @default.
• W2912927503 isRetracted "false" @default.
• W2912927503 magId "2912927503" @default.
• W2912927503 workType "article" @default.