Matches in SemOpenAlex for { <https://semopenalex.org/work/W175115121> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W175115121 abstract "The problem of visual inspection of outdoor environments (e.g., airports, railway stations, roads,etc.) has received growing attention in recent times. The work presented in this thesis is acomponent of a larger project to apply intelligent Closed-Circuit Television (CCTV) to enhancethe counter-terrorism capability for the protection of mass transport systems. The purpose ofintelligent surveillance systems is to automatically perform surveillance tasks by applying camerasin place of human eyes. Recently, with the development of video hardware, the video surveillancesystem is becoming more widely applied and is attracting more researchers to develop fast androbust algorithms.In this thesis, we describe the proposed pedestrian classification and tracking system that isable to track and label multiple people in an outdoor environment such as a railway station. Wepropose an approach that combines blob matching with particle filtering to track multiple peoplein the scene, i.e., the proposed method selects the successful features of blob matching and particlefiltering for tracking. In our proposed method, the system can easily track persons even when theyare partially occluded by each other and can track them correctly after merging. In addition, anovel appearance model derived from the colour information from both the moving regions and theoriginal input colour image is proposed to track people in the event of poor foreground extraction.Additionally, the proposed appearance model also includes spatial information of the humanbody in both vertical and horizontal directions, making location more accurate. In the objectclassification stage, hierarchical chamfer matching combined with the particle filter is applied toclassify commuters in the railway station example into several classes. Based on single cameratracking, we extend our work to multiple camera-based people tracking using a two-level trackingscheme that includes image level tracking and particle filter-based ground level tracking.In addition, a novel method to extract cars from moving regions including shadow area, basedon shape and colour information, is proposed. Chamfer template matching score, and non-shadowregion edge score, are applied as the shape information; while the shadow confidence score(SCS) is used as the colour information. Experimental results show that the proposed methodis significantly better than the approaches where only the colour information is considered." @default.
- W175115121 created "2016-06-24" @default.
- W175115121 creator A5083697350 @default.
- W175115121 date "2008-11-01" @default.
- W175115121 modified "2023-09-24" @default.
- W175115121 title "Robust person and vehicle tracking for intelligent visual surveillance" @default.
- W175115121 cites W1978447072 @default.
- W175115121 cites W2000921186 @default.
- W175115121 cites W2116809561 @default.
- W175115121 cites W2127850685 @default.
- W175115121 cites W2140235142 @default.
- W175115121 cites W2155351433 @default.
- W175115121 cites W2158822092 @default.
- W175115121 cites W2164598857 @default.
- W175115121 cites W2011294890 @default.
- W175115121 hasPublicationYear "2008" @default.
- W175115121 type Work @default.
- W175115121 sameAs 175115121 @default.
- W175115121 citedByCount "0" @default.
- W175115121 crossrefType "journal-article" @default.
- W175115121 hasAuthorship W175115121A5083697350 @default.
- W175115121 hasConcept C105795698 @default.
- W175115121 hasConcept C106131492 @default.
- W175115121 hasConcept C111919701 @default.
- W175115121 hasConcept C121332964 @default.
- W175115121 hasConcept C154945302 @default.
- W175115121 hasConcept C15744967 @default.
- W175115121 hasConcept C165064840 @default.
- W175115121 hasConcept C19417346 @default.
- W175115121 hasConcept C2775936607 @default.
- W175115121 hasConcept C2779662365 @default.
- W175115121 hasConcept C31972630 @default.
- W175115121 hasConcept C33923547 @default.
- W175115121 hasConcept C41008148 @default.
- W175115121 hasConcept C52421305 @default.
- W175115121 hasConcept C62520636 @default.
- W175115121 hasConcept C89992363 @default.
- W175115121 hasConceptScore W175115121C105795698 @default.
- W175115121 hasConceptScore W175115121C106131492 @default.
- W175115121 hasConceptScore W175115121C111919701 @default.
- W175115121 hasConceptScore W175115121C121332964 @default.
- W175115121 hasConceptScore W175115121C154945302 @default.
- W175115121 hasConceptScore W175115121C15744967 @default.
- W175115121 hasConceptScore W175115121C165064840 @default.
- W175115121 hasConceptScore W175115121C19417346 @default.
- W175115121 hasConceptScore W175115121C2775936607 @default.
- W175115121 hasConceptScore W175115121C2779662365 @default.
- W175115121 hasConceptScore W175115121C31972630 @default.
- W175115121 hasConceptScore W175115121C33923547 @default.
- W175115121 hasConceptScore W175115121C41008148 @default.
- W175115121 hasConceptScore W175115121C52421305 @default.
- W175115121 hasConceptScore W175115121C62520636 @default.
- W175115121 hasConceptScore W175115121C89992363 @default.
- W175115121 hasLocation W1751151211 @default.
- W175115121 hasOpenAccess W175115121 @default.
- W175115121 hasPrimaryLocation W1751151211 @default.
- W175115121 hasRelatedWork W1886950988 @default.
- W175115121 hasRelatedWork W1960330826 @default.
- W175115121 hasRelatedWork W2028964944 @default.
- W175115121 hasRelatedWork W2144417742 @default.
- W175115121 hasRelatedWork W2405129404 @default.
- W175115121 hasRelatedWork W2410936854 @default.
- W175115121 hasRelatedWork W2580409577 @default.
- W175115121 hasRelatedWork W2611561198 @default.
- W175115121 hasRelatedWork W2780939496 @default.
- W175115121 hasRelatedWork W2802208223 @default.
- W175115121 hasRelatedWork W2802588423 @default.
- W175115121 hasRelatedWork W2866857126 @default.
- W175115121 hasRelatedWork W2894030891 @default.
- W175115121 hasRelatedWork W2974801011 @default.
- W175115121 hasRelatedWork W3021138684 @default.
- W175115121 hasRelatedWork W3034351121 @default.
- W175115121 hasRelatedWork W2102283389 @default.
- W175115121 hasRelatedWork W2182653506 @default.
- W175115121 hasRelatedWork W22790390 @default.
- W175115121 hasRelatedWork W2333645783 @default.
- W175115121 isParatext "false" @default.
- W175115121 isRetracted "false" @default.
- W175115121 magId "175115121" @default.
- W175115121 workType "article" @default.