Tracking Moving Objects in Road Traffic Sequences

Autor:	Salma Kammoun Jarraya, Hanêne Ben-Abdallah, Najla Bouarada Ghrab, Mohamed Hammami
Rok vydání:	2012
Předmět:	Identification (information) Matching (statistics) business.industry Computer science Template matching Frame (networking) Computer vision Artificial intelligence Track (rail transport) business Tracking (particle physics) Object (computer science) Term (time)
Zdroj:	Lecture Notes in Computer Science ISBN: 9783642312533 ICISP
DOI:	10.1007/978-3-642-31254-0_46
Popis:	In this paper, we present an algorithm for tracking objects in road traffic sequences which is based on coherent strategy. This strategy relies on two times processing. Firstly, a Short-Term Processing (STP) based on spatial analysis and multilevel region descriptors matching allows identification of objects interactions and particular objects states. Secondly, a Long- Term Processing (LTP) is applied to cope with track management issues. In fact LTP feedbacks objects and their corresponding regions in each frame to update tracked object attributes. In case of merging objects, attributes are obtained using Template matching. An experimental study by quantitative and qualitative evaluations shows that the proposed approach can deal with multiple rigid objects whose sizes vary over time. The obtained results prove that our method can provide an effective and stable road objects tracks.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ca18f8855357369d2866d7603a7f6421 https://doi.org/10.1007/978-3-642-31254-0_46 Zobrazit plný text záznamu