Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-31254-0_46 | ICISP |
Keywords | Field | DocType |
term processing,coherent strategy,stable road objects track,fact ltp feedbacks object,template matching,road traffic sequence,short-term processing,particular objects state,multilevel region descriptors matching,objects interaction | Template matching,Computer vision,Pattern recognition,Computer science,Qualitative Evaluations,Road traffic,Artificial intelligence,Merge (version control) | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salma Kammoun Jarraya | 1 | 13 | 5.36 |
| Najla Bouarada Ghrab | 2 | 0 | 0.68 |
| Mohamed Hammami | 3 | 181 | 30.54 |
| hanene benabdallah | 4 | 65 | 13.16 |