This paper presents a fully automatic and highly robust head tracking algorithm based on the latest advances in real-time multi-view face detection techniques and multiple cues fus...
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
A novel particle filter, the Memory-based Particle Filter
(M-PF), is proposed that can visually track moving objects
that have complex dynamics. We aim to realize robustness
aga...
Dan Mikami (NTT), Kazuhiro Otsuka (NTT), Junji YAM...
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 address the problem of robust appearance-based visual tracking. First, a set of simplified biologically inspired features (SBIF) is proposed for object representation and the B...