DocumentCode
707872
Title
New performance measures in object detection
Author
Kuzmin, Sergey A.
Author_Institution
Dept. of Radio Tech. & Optoelectron. Complexes, St. Petersburg State Univ. of Aerosp. Instrum., St. Petersburg, Russia
fYear
2015
fDate
2-4 Feb. 2015
Firstpage
98
Lastpage
101
Abstract
The article is devoted to new approaches in accuracy evaluation of information retrieval systems (with tests made for motion detection algorithms). First part of article is devoted to studying of how good is tested motion detection algorithm. New elements are added to ROC for computing new measures. These elements are based on Equal Error Rate criterion. Second part of article is devoted to visualization of progress for multiple-step motion detection algorithms. Any algorithm of this type is a set of blocks and it is important to know which gain in accuracy was achieved in Nth step. Elements of design of multiple-step motion detection algorithms are discussed. Another discussed type of visualization is dedicated to boosting (combination of two and more algorithms).
Keywords
error statistics; information retrieval systems; motion estimation; object detection; performance evaluation; sensitivity analysis; ROC; equal error rate criterion; information retrieval systems; multiple-step motion detection algorithms; object detection; performance measures; progress visualization; Algorithm design and analysis; Classification algorithms; Coordinate measuring machines; Estimation; Image edge detection; Motion detection; Visualization; Equal Error Rate; ROC; boosting; decision making; false acceptance rate; information retrieval; object detection; performance evaluation; true acceptance rate; visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW), 2015 IEEE NW Russia
Conference_Location
St. Petersburg
Print_ISBN
978-1-4799-7305-7
Type
conf
DOI
10.1109/EIConRusNW.2015.7102240
Filename
7102240
Link To Document