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

Cuevas C, Yáñez EM, García N - Sensors (Basel) (2015)

Bottom Line: An advanced and user-friendly tool for fast labeling of moving objects captured with surveillance sensors is proposed, which is available to the public.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.

View Article: PubMed Central - PubMed

Affiliation: Grupo de Tratamiento de Imágenes, Universidad Politécnica de Madrid (UPM), E-28040 Madrid, Spain. ccr@gti.ssr.upm.es.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Example of using the active contours mode. The green line illustrates the initial contour. The yellow line shows the final contour.
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f9-sensors-15-15159: Example of using the active contours mode. The green line illustrates the initial contour. The yellow line shows the final contour.

Mentions: Figure 9 shows the result obtained by using the active contour-based method integrated in TSLAB. The green line corresponds to the initial contour (manually drawn by a user). The yellow line corresponds to the contour finally obtained. Although the initial contour is very imprecise and also is away from the target contour, it can be observed that the achieved contour is very precise and only requires small adjustments in some areas.


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

Cuevas C, Yáñez EM, García N - Sensors (Basel) (2015)

Example of using the active contours mode. The green line illustrates the initial contour. The yellow line shows the final contour.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541825&req=5

f9-sensors-15-15159: Example of using the active contours mode. The green line illustrates the initial contour. The yellow line shows the final contour.
Mentions: Figure 9 shows the result obtained by using the active contour-based method integrated in TSLAB. The green line corresponds to the initial contour (manually drawn by a user). The yellow line corresponds to the contour finally obtained. Although the initial contour is very imprecise and also is away from the target contour, it can be observed that the achieved contour is very precise and only requires small adjustments in some areas.

Bottom Line: An advanced and user-friendly tool for fast labeling of moving objects captured with surveillance sensors is proposed, which is available to the public.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.

View Article: PubMed Central - PubMed

Affiliation: Grupo de Tratamiento de Imágenes, Universidad Politécnica de Madrid (UPM), E-28040 Madrid, Spain. ccr@gti.ssr.upm.es.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus