A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
Proceedings of the 2015 International Conference on Advances in Mechanical Engineering and Industrial Informatics
Abstract:Traditional target tracking methods are easy to lose the target in complex background, especially tracking multiple targets. In this paper PSO(Particle Swarm Optimization)algorithm is presented, it is used to calculate the weights of features. and weight the features to get optimal feature, then apply the optimal feature to Meanshift. And, combine the adjustable window algorithm with Meanshift to adapt to the change of the target scale. The experiments' results show that the proposeddoi:10.2991/ameii-15.2015.235 fatcat:zd7zpt5nubel7fgbmsjpvirge4