ViTBAT: Video tracking and behavior annotation tool

Tewodros A. Biresaw, Tahir Nawaz, James Ferryman, Anthony I. Dell

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

50 Scopus citations

Abstract

Reliable and repeatable evaluation of low-level (tracking) and high-level (behavior analysis) vision tasks require annotation of ground-Truth information in videos. Depending on the scenarios, ground-Truth annotation may be required for individual targets and/or groups of targets. Unlike the existing tools that generally allow an explicit annotation for individual targets only, we propose a tool that enables an explicit annotation both for individual targets and groups of targets for the tracking and behavior recognition tasks together with effective visualization features. Whether for individuals or groups, the tool allows labeling of their states and behaviors manually or semi-Automatically through a simple and friendly user interface in a time-efficient manner. Based on a subjective assessment, the proposed tool is found to be more effective than the well-known ViPER tool on a series of defined criteria. A dedicated website makes the tool publicly available for the community.

Original languageEnglish
Title of host publication2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages295-301
Number of pages7
ISBN (Electronic)9781509038114
DOIs
StatePublished - Nov 7 2016
Event13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016 - Colorado Springs, United States
Duration: Aug 23 2016Aug 26 2016

Publication series

Name2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016

Conference

Conference13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016
Country/TerritoryUnited States
CityColorado Springs
Period08/23/1608/26/16

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