Publication

Video Object Extraction based on Adaptive Background and Statistical Change Detection

Touradj Ebrahimi, Andrea Cavallaro
2001
Conference Papers

Abstract

This paper introduces a system for video object extraction useful for general applications where foreground objects move within a slow changing background. Surveillance of indoor and outdoor sequences is a typical example. The originality of the approach resides in two related components. First, the statistical change detection used in the system does not require any sophisticated parametric tuning as it is based on a probabilistic method. Second, the change is detected between a current instance of the scene and a reference that is updated continuously to take into account slow variation of the background. Simulation results show that the proposed scheme performs well in extracting video objects, with stability and good accuracy, while being of relative reduced complexity.

Official source

https://infoscience.epfl.ch/entities/publication/f99c4ef0-5a3d-4141-984f-a8cc7f3a19bc

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Touradj Ebrahimi, Andrea Cavallaro
2001
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/f99c4ef0-5a3d-4141-984f-a8cc7f3a19bc

About this result

Related concepts (32)

Image analysis

Image analysis or imagery analysis is the extraction of meaningful information from s; mainly from s by means of techniques. Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face. Computers are indispensable for the analysis of large amounts of data, for tasks that require complex computation, or for the extraction of quantitative information.

Simulation

A simulation is the imitation of the operation of a real-world process or system over time. Simulations require the use of models; the model represents the key characteristics or behaviors of the selected system or process, whereas the simulation represents the evolution of the model over time. Often, computers are used to execute the simulation. Simulation is used in many contexts, such as simulation of technology for performance tuning or optimizing, safety engineering, testing, training, education, and video games.

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.