We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumption...
A problem of detecting changes in a region viewed by multiple overlapping cameras is addressed. We are exploring a background change detection method of multilayered orthoimages u...
With large volume data sets, it can be difficult to visualize the data all at once. Multiple views can address this problem by displaying details in areas of interest while still ...
In this paper a technique is presented to estimate the traffic intensity for each lane. This method does not require background estimation or even the identification and tracking ...
The large shape variability and partial occlusions challenge most object detection and tracking methods for nonrigid targets such as pedestrians. Single camera tracking is limited...
Manas Kamal Bhuyan, Brian C. Lovell, Abbas Bigdeli