Publication

Evaluation of video segmentation methods for surveillance applications

Touradj Ebrahimi
2000
Conference Papers

Abstract

Current research on performance evaluation of video segmentation methods is primarily focussed on the development of objective figures of merit. There is no standardised methodology for subjective evaluations of segmentation performance and these are currently perceived as too onerous. Using an experimental design and data analysis method derived from current practice in experimental psychology, we have explored a performance evaluation procedure that is largely based on subjective assessments. We report on statistically significant differences in perceived performance between three multi-object video segmentation and tracking methods developed for surveillance applications. The assessments were performed by a group each of experts and novices on a wide range of video content.

Official source

https://infoscience.epfl.ch/entities/publication/4a2fce1d-e6d3-48a5-8af0-520e524a7312

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Touradj Ebrahimi
2000
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/4a2fce1d-e6d3-48a5-8af0-520e524a7312

About this result

Related concepts (32)

Evaluation

In common usage, evaluation is a systematic determination and assessment of a subject's merit, worth and significance, using criteria governed by a set of standards. It can assist an organization, program, design, project or any other intervention or initiative to assess any aim, realisable concept/proposal, or any alternative, to help in decision-making; or to ascertain the degree of achievement or value in regard to the aim and objectives and results of any such action that has been completed.

Image segmentation

In and computer vision, image segmentation is the process of partitioning a into multiple image segments, also known as image regions or image objects (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics.

Object co-segmentation

In computer vision, object co-segmentation is a special case of , which is defined as jointly segmenting semantically similar objects in multiple images or video frames. It is often challenging to extract segmentation masks of a target/object from a noisy collection of images or video frames, which involves object discovery coupled with . A noisy collection implies that the object/target is present sporadically in a set of images or the object/target disappears intermittently throughout the video of interest.

Related publications (32)

Evaluation of video segmentation methods for surveillance applications

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