Name
Abstract | ||
|---|---|---|
A new multiscale approach to motion based segmentation of objects in video sequences is presented. While image features extracted at multiple scales are commonly used within the pattern recognition community, they have seldom been employed for background modelling and subtraction. The paper describes a methodology for maintaining an explicit background model at multiple scales. Biological inspiration is used to contrive simple, yet effective mechanisms for feature extraction, incorporation of information across multiple scales and segmentation. Results of experiments conducted using sequences from the domain of traffic surveillance are presented in the paper. They suggest that the proposed method is able to achieve good segmentation results. In addition, the evaluated variant of a multiscale segmentation algorithm is far less computationally intensive, able to achieve processing of higher frame rates in real time and requires an order of magnitude less memory resources than the commonly-used approach compared against. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICDSP.2009.5201193 | DSP'09 Proceedings of the 16th international conference on Digital Signal Processing |
Keywords | DocType | ISBN |
background modelling,multiple scale,commonly-used approach,multiscale segmentation algorithm,feature extraction,explicit background model,effective mechanism,multiscale background modelling,good segmentation result,biological inspiration,new multiscale approach,foreground,computational complexity,image segmentation,segmentation,background subtraction,data mining,pixel,image features,object recognition,pattern recognition,layout,probabilistic logic,background,frame rate | Conference | 978-1-4244-3298-1 |
Citations | PageRank | References |
5 | 0.46 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dubravko Culibrk | 1 | 279 | 20.02 |
| Crnojević, V. | 2 | 45 | 2.45 |
| Borislav Antic | 3 | 66 | 5.43 |