Tool for Semiautomatic Labeling of Moving Objects in Video Sequences: TSLAB

被引：10
作者：
Cuevas, Carlos [1 ]
Maria Yanez, Eva [1 ]
Garcia, Narciso [1 ]
机构：
[1] Univ Politecn Madrid, Grp Tratamiento Imagenes, E-28040 Madrid, Spain
来源：
SENSORS | 2015年 / 15卷 / 07期
关键词：
ground-truth; labeling; moving object detection; tracking; active contours; shadows; occlusions; tool; TRACKING; ONLINE;
D O I：
10.3390/s150715159
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
An advanced and user-friendly tool for fast labeling of moving objects captured with surveillance sensors is proposed, which is available to the public. This tool allows the creation of three kinds of labels: moving objects, shadows and occlusions. These labels are created at both the pixel level and object level, which makes them suitable to assess the quality of both moving object detection strategies and tracking algorithms. The labeling can be performed easily and quickly thanks to a very friendly graphical user interface that allows one to automatize many common operations. This interface also includes some semiautomatic advanced tools that simplify the labeling tasks and drastically reduce the time required to obtain high-quality results.
引用
收藏
页码：15159 / 15178
页数：20
相关论文
共 37 条
  • [1] [Anonymous], 2014, MATLAB R2014A
  • [2] [Anonymous], 2013, 4 NAT C COMP VIS PAT, DOI DOI 10.1109/NCVPRIPG.2013.6776161
  • [3] Robust tracking with interest points: A sparse representation approach
    Babu, R. Venkatesh
    Parate, Priti
    Acharya, Aniruddha K.
    [J]. IMAGE AND VISION COMPUTING, 2015, 33 : 44 - 56
  • [4] GPU-based Implementation of an Optimized Nonparametric Background Modeling for Real-time Moving Object Detection
    Berjon, Daniel
    Cuevas, Carlos
    Moran, Francisco
    Garcia, Narciso
    [J]. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2013, 59 (02) : 361 - 369
  • [5] Video-Based Human Behavior Understanding: A Survey
    Borges, Paulo Vinicius Koerich
    Conci, Nicola
    Cavallaro, Andrea
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2013, 23 (11) : 1993 - 2008
  • [6] Bouwmans T., 2008, Recent Patents Comput. Sci., V1, P219, DOI 10.2174/1874479610801030219
  • [7] Geodesic active contours
    Caselles, V
    Kimmel, R
    Sapiro, G
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 1997, 22 (01) : 61 - 79
  • [8] Active contours without edges
    Chan, TF
    Vese, LA
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2001, 10 (02) : 266 - 277
  • [9] A survey of video datasets for human action and activity recognition
    Chaquet, Jose M.
    Carmona, Enrique J.
    Fernandez-Caballero, Antonio
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 2013, 117 (06) : 633 - 659
  • [10] Improved background modeling for real-time spatio-temporal non-parametric moving object detection strategies
    Cuevas, Carlos
    Garcia, Narciso
    [J]. IMAGE AND VISION COMPUTING, 2013, 31 (09) : 616 - 630
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