In this article, we propose a new particle filtering scheme, called a switching particle filter, which allows robust and accurate visual tracking under typical circumstances of real-time visual tracking. This scheme switches two complementary sampling algorithms, Condensation and Auxiliary Particle Filter, in an on-line fashion based on the confidence of the filtered state of the visual target....

Recently, discriminative correlation filter-based method becomes one of the popular directions in the field of visual tracking because of its computational efficiency and excellent performance, which make it especially suitable for real-time application. Most of them are focused only on the transition estimation. However, accurate scale estimation of the target plays a very important role in lo...

Audio-visual tracking of an unknown number concurrent speakers in 3D is a challenging task, especially when sound and video are collected with compact sensing platform. In this paper, we propose tracker that builds on generative discriminative audio-visual likelihood models formulated particle filtering framework. We localize multiple de-emphasized acoustic map assisted by the image detection-d...