Name
Abstract | ||
|---|---|---|
Detecting moving objects against dynamic backgrounds remains a challenge in computer vision and robotics. This paper presents a surprisingly simple algorithm to detect objects in such conditions. Based on theoretic analysis, we show that 1) the displacement of the foreground and the background can be represented by the phase change of Fourier spectra, and 2) the motion of background objects can be extracted by Phase Discrepancy in an efficient and robust way. The algorithm does not rely on prior training on particular features or categories of an image and can be implemented in 9 lines of MATLAB code. In addition to the algorithm, we provide a new database for moving object detection with 20 video clips, 11 subjects and 4785 bounding boxes to be used as a public benchmark for algorithm evaluation. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-19318-7_18 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | Field | DocType |
computer vision,object detection,new database,background object,matlab code,dynamic background,object motion,phase discrepancy analysis,fourier spectrum,phase discrepancy,simple algorithm,algorithm evaluation,phase change | Computer vision,Object detection,MATLAB,Pattern recognition,Computer science,Phase change,Artificial intelligence,SIMPLE algorithm,Fourier spectrum,Robotics,Bounding overwatch | Conference |
Volume | Issue | ISSN |
6494 LNCS | PART 3 | 16113349 |
Citations | PageRank | References |
13 | 0.57 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bolei Zhou | 1 | 1529 | 66.96 |
| Xiaodi Hou | 2 | 2069 | 72.53 |
| Liqing Zhang | 3 | 2713 | 181.40 |