Title :
Application of tabu search optimization in realtime video tracking
Author :
Gao, Hongzhi ; Green, Richard
Author_Institution :
Dept. of Comput. Sci. & Software Eng., Univ. of Canterbury, Christchurch, New Zealand
Abstract :
In this paper, a unique particle filter is proposed based on a population-based probabilistic tabu search algorithm. The memory oriented feature of the tabu search algorithm improves both accuracy and performance of the proposed Alter. Quantitative results indicate that the proposed tabu search particle Alter outperforms the generic particle Alter in real-time human tracking applications.
Keywords :
feature extraction; particle filtering (numerical methods); search problems; tracking; video signal processing; generic particle Alter; real-time human tracking applications; realtime video tracking; tabu search optimization; tabu search particle Alter; Computer vision; Decision support systems; accuracy; particle filter; realtime vision tracking; tabu search;
Conference_Titel :
Image and Vision Computing New Zealand, 2009. IVCNZ '09. 24th International Conference
Conference_Location :
Wellington
Print_ISBN :
978-1-4244-4697-1
Electronic_ISBN :
2151-2205
DOI :
10.1109/IVCNZ.2009.5378407
