Tracking of Objects in Video Scenes with Time Varying Content

Abstract : We propose a method for tracking of objects contained in video sequences. Each video object is represented by a set of polygonal regions. A bottom up approach (spatial segmentation/motion estimation) is applied for the initialisation of the method, a limited human interaction is used to build the semantic map of the first frame in video sequence. The tracking of this model along a video sequence is based on detecting and indexing new objects in a video scene. Semantic rules are used to label new objects and, the current state of segmentation is validated by forward projection of the background.
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Journal articles
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https://hal.archives-ouvertes.fr/hal-01439576
Contributor : Jenny Benois-Pineau <>
Submitted on : Wednesday, January 18, 2017 - 4:16:42 PM
Last modification on : Friday, April 12, 2019 - 11:14:05 AM

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Amal Mahboubi, Jenny Benois-Pineau, Dominique Barba. Tracking of Objects in Video Scenes with Time Varying Content. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2002, EURASIP Journal on Advances in Signal Processing, 2002 (6), pp.582 - 594. ⟨10.1155/S1110865702000902⟩. ⟨hal-01439576⟩

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