This work presents a discriminative training method for
particle filters in the context of multi-object tracking. We
are motivated by the difficulty of hand-tuning the many
mode...
The filter flow problem is to compute a space-variant
linear filter that transforms one image into another. This
framework encompasses a broad range of transformations
including...
This paper considers the task of closed curve filtering for visual tracking. Segmentation-based visual tracking strategies provide the closed curve measurements to filter. This pap...
This paper is concerned with the problem of robust filtering for uncertain linear discrete-time descriptor systems. The matrices of the system state-space model are uncertain, bel...
This paper presents the Scatter Search Particle Filter (SSPF) algorithm and its application to the Dynamic Travelling Salesman Problem (DTSP). SSPF combines sequential estimation a...