We demonstrate that enhanced particle swarm optimization (PSO) can be successfully used to evolve high performance filter approximations. These evolved approximations use sets of ...
—The main contribution of this paper arises from the development of a new framework, which has its inspiration in the mechanics of human navigation, for solving the problem of Si...
Tracking of multiple objects in biological image data is a challenging problem due largely to poor imaging conditions and complicated motion scenarios. Existing tracking algorithm...
We propose a similarity measure based on a Spatial-color Mixture of Gaussians (SMOG) appearance model for particle filters. This improves on the popular similarity measure based o...
Hanzi Wang, David Suter, Konrad Schindler, Chunhua...
This paper presents an online detection-based two-stage multi-object tracking method in dense visual surveillances scenarios with a single camera. In the local stage, a particle f...