Background Subtraction with Multispectral Images Using Codebook Algorithm
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Background Subtraction with Multispectral Images Using Codebook Algorithm |
| Type de publication | Conference Paper |
| Year of Publication | 2017 |
| Auteurs | Liu R, Ruichek Y, Bagdouri MEl |
| Editor | BlancTalon J, Penne R, Philips W, Popescu D, Scheunders P |
| Conference Name | ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS (ACIVS 2017) |
| Publisher | Antwerp Univ; Commonwealth Sci & Ind Res Org; Ghent Univ |
| Conference Location | GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND |
| ISBN Number | 978-3-319-70353-4; 978-3-319-70352-7 |
| Mots-clés | Background subtraction, Codebook, Moving object detection, multispectral images |
| Résumé | Detecting moving objects from a video sequence based on conventional images have reached a significant level of maturity with some practical success. However, their performance may degrade under illumination changes. To solve this, the advantages of using multispectral images for background subtraction is investigated and tested over several multispectral videos using codebook algorithm in this paper. Experimental results show that multispectral images represent a viable better alternative to conventional images in the search of robust detection and motion analysis of moving objects. |
| DOI | 10.1007/978-3-319-70353-4_49 |