An Object Tracking in Particle Filtering and Data Association Framework, Using SIFT Features

An article published in ICDP 2011. Authors: M. Souded, L. Giulieri and F. Bremond The authors address the problematic of the multi-object tracking in video surveillance context with single static cameras. They propose a novel approach for multi-object tracking in a particle filtering and data association framework allowing real-time tracking …

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Object tracking in SUP

Involved people: Duc Phu CHAU, Francois BREMOND and Monique THONNAT SUP (Scene Unsderstanding Platform, developped by Stars team) provides an object apperance-based tracking algorithm. This tracker includes two main plugins: ParametrableF2Ftracking and LTT. The objective of ParametrableF2Ftracking plugin is to establish object links with a sliding time window. For each …

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Object tracking description

Involved people: Duc Phu CHAU, Julien BADIE and Malik SOUDED The aim of an object tracking algorithm is to generate the trajectories of objects over time by locating their positions in every frame of video. An object tracker may also provide the complete region in the image that is occupied …

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