Đang chuẩn bị liên kết để tải về tài liệu:
Báo cáo hóa học: " Research Article Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2008 Article ID 246309 10 pages doi 10.1155 2008 246309 Research Article Evaluating Multiple Object Tracking Performance The clear mot MetricS Keni Bernardin and Rainer Stiefelhagen Interactive Systems Lab Institutfur Theoretische Informatik Universitiit Karlsruhe 76131 Karlsruhe Germany Correspondence should be addressed to Keni Bernardin keni@ira.uka.de Received 2 November 2007 Accepted 23 April 2008 Recommended by Carlo Regazzoni Simultaneous tracking of multiple persons in real-world environments is an active research field and several approaches have been proposed based on a variety of features and algorithms. Recently there has been a growing interest in organizing systematic evaluations to compare the various techniques. Unfortunately the lack of common metrics for measuring the performance of multiple object trackers still makes it hard to compare their results. In this work we introduce two intuitive and general metrics to allow for objective comparison of tracker characteristics focusing on their precision in estimating object locations their accuracy in recognizing object configurations and their ability to consistently label objects over time. These metrics have been extensively used in two large-scale international evaluations the 2006 and 2007 CLEAR evaluations to measure and compare the performance of multiple object trackers for a wide variety of tracking tasks. Selected performance results are presented and the advantages and drawbacks of the presented metrics are discussed based on the experience gained during the evaluations. Copyright 2008 K. Bernardin and R. Stiefelhagen. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION The audio-visual tracking of multiple persons is a very active .