Paper Info
Title
Annotation tool designed for hazardous user behavior in guided mountain transport
Abstract
This paper proposes a semi-automatic ground truth annotation software designed for the specific needs of the EVEREST project. The purpose of this project is to build an annotated and anonymized video database, and use it to evaluate algorithms in the task of detecting hazardous behavior in guided mountain transport. To do so, a ground truth annotation tool that disposes designed specifically for the EVEREST project was needed. Ski lifts safety based on intelligent video systems is a niche domain which has not yet been explored in depth, which means no annotation tool suited for this task was available. That is why, we decided to develop a user-friendly and flexible tool to allows the semi-automatic annotation of events and faces (for privacy purposes). We looked at existing tracking algorithms, chose an implementation of TLD, and designed a new tracking algorithm that could be used when TLD isn't effective. This led to a simple, lightweight tracking algorithm that is more practical to use than the original CAMshift algorithm, and a user-friendly and flexible annotation tool that is well adapted to the specific task of annotating hazardous behavior in guided mountain transport.
Year
DOI
Venue
2018
10.1109/IPAS.2018.8708879
2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS)
Keywords
Field
DocType
image processing tool,guided mountain transport,security,face tracking,annotation software,video dataset.
Annotation,Task analysis,Computer science,Image processing,Ground truth,Human–computer interaction,Software,Hazardous waste,Optical imaging
Conference
ISBN
Citations 
PageRank 
978-1-7281-0248-1
0
0.34
References 
Authors
1
3
Name
Order
Citations
PageRank
Remi Dufour100.34
Cyril Meurie2415.83
Amaury Flancquart382.72