Name
Abstract | ||
|---|---|---|
The environment in which video motion needs to be tracked, places several constraints on the design of the tracking system. Current datasets which are used to evaluate and compare video motion tracking algorithms use a cumulative performance measure without thoroughly analyzing the effect of these different constraints imposed by the environment. There is need to build a heuristic framework which analyses these constraints as parameters of the framework and their effect on selection or design of tracking algorithm. The emphasis in this paper is to identify these parameters which will lay a foundation for defining subjective measures for the comparison of performance evaluation of tracking algorithms. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICSAP.2010.84 | ICSAP |
Keywords | Field | DocType |
motion tracking,algorithm design and analysis,benchmark testing,design,benchmarking,metric,tracking system,video tracking,cumulant | Computer vision,Heuristic,Algorithm design,Computer science,Tracking system,Algorithm,Video tracking,Artificial intelligence,Match moving,Benchmarking,Benchmark (computing) | Conference |
Citations | PageRank | References |
1 | 0.41 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mukesh C. Motwani | 1 | 16 | 4.60 |
| Nishith Tirpankar | 2 | 4 | 1.18 |
| Rakhi C. Motwani | 3 | 15 | 4.51 |
| Monica N. Nicolescu | 4 | 358 | 40.44 |
| Frederick C. Harris Jr. | 5 | 547 | 78.86 |