1 resultado para subtraction solving
em Cochin University of Science
Filtro por publicador
- Aberdeen University (1)
- Academic Archive On-line (Jönköping University; Sweden) (1)
- Academic Archive On-line (Karlstad University; Sweden) (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- AMS Campus - Alm@DL - Università di Bologna (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (1)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Aquatic Commons (4)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (15)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (6)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (14)
- Brock University, Canada (9)
- Bulgarian Digital Mathematics Library at IMI-BAS (30)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (37)
- CentAUR: Central Archive University of Reading - UK (18)
- Central European University - Research Support Scheme (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (17)
- Cochin University of Science & Technology (CUSAT), India (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
- CUNY Academic Works (7)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (77)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- Digital Commons - Michigan Tech (3)
- Digital Commons @ Winthrop University (1)
- Digital Commons at Florida International University (11)
- Digital Peer Publishing (2)
- DigitalCommons@The Texas Medical Center (1)
- DigitalCommons@University of Nebraska - Lincoln (10)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (1)
- Greenwich Academic Literature Archive - UK (3)
- Helda - Digital Repository of University of Helsinki (1)
- Indian Institute of Science - Bangalore - Índia (27)
- Instituto Politécnico do Porto, Portugal (3)
- Massachusetts Institute of Technology (3)
- Ministerio de Cultura, Spain (11)
- National Center for Biotechnology Information - NCBI (10)
- Open University Netherlands (2)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- QSpace: Queen's University - Canada (3)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (35)
- Queensland University of Technology - ePrints Archive (423)
- Repositório Científico da Universidade de Évora - Portugal (3)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (38)
- Repositorio Institucional UNISALLE - Colombia (1)
- SAPIENTIA - Universidade do Algarve - Portugal (4)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- Universidad de Alicante (4)
- Universidad Politécnica de Madrid (20)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (1)
- University of Connecticut - USA (1)
- University of Michigan (32)
- University of Queensland eSpace - Australia (17)
- University of Southampton, United Kingdom (2)
- WestminsterResearch - UK (2)
Resumo:
Detection of Objects in Video is a highly demanding area of research. The Background Subtraction Algorithms can yield better results in Foreground Object Detection. This work presents a Hybrid CodeBook based Background Subtraction to extract the foreground ROI from the background. Codebooks are used to store compressed information by demanding lesser memory usage and high speedy processing. This Hybrid method which uses Block-Based and Pixel-Based Codebooks provide efficient detection results; the high speed processing capability of block based background subtraction as well as high Precision Rate of pixel based background subtraction are exploited to yield an efficient Background Subtraction System. The Block stage produces a coarse foreground area, which is then refined by the Pixel stage. The system’s performance is evaluated with different block sizes and with different block descriptors like 2D-DCT, FFT etc. The Experimental analysis based on statistical measurements yields precision, recall, similarity and F measure of the hybrid system as 88.74%, 91.09%, 81.66% and 89.90% respectively, and thus proves the efficiency of the novel system.