Name
Abstract | ||
|---|---|---|
Real-time multi-object tracking is one of the most challenging problem in computer vision. Based on integer linear programming (ILP) formulation for object tracking [1, 2], we propose the greedy algorithm for real-time multi-object tracking. The experimental result shows that the performance of the proposed algorithm is competitive to the previous state-of-the-art algorithms on off-line video data, and its running time is also sufficient for analyzing the tracks of object in real-time video data. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICIP.2014.7025079 | ICIP |
Keywords | Field | DocType |
integer linear programming formulation,ilp formulation,integer programming,linear programming,greedy algorithm,greedy algorithms,object tracking,tracking,computer vision,real-time,offline video data algorithm,real-time multiobject tracking,multi-object,real time | Computer vision,Computer science,Algorithm,Theoretical computer science,Greedy algorithm,Integer programming,Video tracking,Artificial intelligence,Greedy randomized adaptive search procedure | Conference |
ISSN | Citations | PageRank |
1522-4880 | 0 | 0.34 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tae-Ho Kim | 1 | 1200 | 81.13 |
| Changhoon Lee | 2 | 0 | 0.34 |
| Chang D. Yoo | 3 | 375 | 45.88 |