Name
Abstract | ||
|---|---|---|
Considering the robustness, stability and reduced volume of data, researchers have focused on using edge information in various
video processing applications including moving object detection, tracking and target recognition. Though the edge information
is more robust compared to intensity, it also exhibits variations in different frames due to illumination change and noise.
In addition to this, the amount of variation varies from edge to edge. Thus, without making use of this variability information,
it is difficult to obtain an optimal performance during edge matching. However, traditional edge pixel-based methods do not
keep structural information of edges and thus they are not suitable to extract and hold this variability information. To achieve
this, we represent edges as segments that make use of the structural and relational information of edges to allow extraction
of this variability information. During edge matching, existing algorithms do not handle the size, positional and rotational
variations to deal with edges of arbitrary shapes. In this paper, we propose a knowledge-based flexible edge matching algorithm
where knowledge is obtained from the statistics on the environmental dynamics, and flexibility is to deal with the arbitrary
shape and the geometric variations of edges by making use of this knowledge. In this paper, we detailed the effectiveness
of the proposed matching algorithm in moving object detection and also indicated its suitability in other applications like
target detection and tracking. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/s10489-011-0281-4 | Applied Intelligence |
Keywords | Field | DocType |
Edge matching,Motion detection,Background statistics,Video surveillance,Illumination variation | Object detection,Computer vision,Video processing,Pattern recognition,Motion detection,Computer science,Edge matching,Robustness (computer science),Artificial intelligence,Pixel,Blossom algorithm,Machine learning | Journal |
Volume | Issue | ISSN |
36 | 3 | 0924-669X |
Citations | PageRank | References |
6 | 0.43 | 23 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Julius Hossain | 1 | 73 | 9.50 |
| M. Ali Akber Dewan | 2 | 79 | 9.53 |
| Oksam Chae | 3 | 616 | 46.52 |