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 :
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