dc.contributor.author | Jonkus, Artūras | |
dc.contributor.author | Tumas, Paulius | |
dc.contributor.author | Serackis, Artūras | |
dc.date.accessioned | 2023-09-18T17:11:48Z | |
dc.date.available | 2023-09-18T17:11:48Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 2320-5407 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/120367 | |
dc.description.abstract | The problem of human detection in an image or video sequence is still a hot topic nowadays. It has been actively researched and still, the accurate and fast detection remains an issue. This paper aims to provide additional insights into existing solutions for pedestrian detection. The proposed method is to only use a part of video frames for object detection showed that it is possible to receive 88 % processing speed increase without accuracy lost when using every second frame. However, skipping more frames introduces tracking latency of approximated location of a pedestrian. | eng |
dc.format | PDF | |
dc.format.extent | p. 668-674 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | MEDLINE | |
dc.relation.isreferencedby | Open J-Gate | |
dc.relation.isreferencedby | Index Copernicus | |
dc.source.uri | http://www.journalijar.com/uploads/524_IJAR-23390.pdf | |
dc.subject | IK04 - Skaitmeninės signalų apdorojimo technologijos / Digital signal processing technologies | |
dc.title | Investigation of convolutional neural networks for visual tracking of pedestrians | |
dc.type | Straipsnis kitoje DB / Article in other DB | |
dcterms.references | 12 | |
dc.type.pubtype | S3 - Straipsnis kitoje DB / Article in other DB | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Elektronikos fakultetas / Faculty of Electronics | |
dc.subject.researchfield | T 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | Pedestrian detector | |
dc.subject.en | YOLO | |
dc.subject.en | Real-time | |
dcterms.sourcetitle | International journal of advanced research (IJAR) | |
dc.description.issue | iss. 5 | |
dc.description.volume | vol. 6 | |
dc.publisher.name | Mata Jijabai Government Girls PG College | |
dc.publisher.city | Indore | |
dc.identifier.doi | 10.21474/IJAR01/ 7082 | |
dc.identifier.elaba | 29294221 | |