DocumentCode
696909
Title
Evaluation of video segmentation methods for surveillance applications
Author
McKoen, Kevin ; Navarro-Prieto, Raquel ; Duc, Benoit ; Durucan, Emrullah ; Ziliani, Francesco ; Ebrahimi, Touradj
Author_Institution
Motorola Labs UK, Basingstoke, England
fYear
2000
fDate
4-8 Sept. 2000
Firstpage
1
Lastpage
4
Abstract
Current research on performance evaluation of video segmentation methods is primarily focussed on the development of objective figures of merit. There is no standardised methodology for subjective evaluations of segmentation performance and these are currently perceived as too onerous. Using an experimental design and data analysis method derived from current practice in experimental psychology, we have explored a performance evaluation procedure that is largely based on subjective assessments. We report on statistically significant differences in perceived performance between three multi-object video segmentation and tracking methods developed for surveillance applications. The assessments were performed by a group each of experts and novices on a wide range of video content.
Keywords
Algorithm design and analysis; Change detection algorithms; Image segmentation; Lighting; Multimedia communication; Signal processing algorithms; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2000 10th European
Conference_Location
Tampere, Finland
Print_ISBN
978-952-1504-43-3
Type
conf
Filename
7075755
Link To Document