This paper presents a novel solution for flow-based tracking and 3D reconstruction of deforming objects in monocular image sequences. A non-rigid 3D object undergoing rotation and deformation can be effectively approximated using a linear combination of 3D basis shapes. This puts a bound on the rank of the tracking matrix. The rank constraint is used to… (More)
Estimating the number of people in a crowded environment is a central task in civilian surveillance. Most vision-based counting techniques depend on detecting individuals in order to count, an unrealistic proposition in crowded settings. We propose an alternative approach that directly estimates the number of people. In our system, groups of image sensors… (More)
The paper studies the optimal placement of multiple cameras and the selection of the best subset of cameras for single target localization in the framework of sensor networks. The cameras are assumed to be aimed horizontally around a room. To conserve both computation and communication energy, each camera reduces its image to a binary " scan-line " by… (More)
In this paper, we study how to task camera sensor nodes to reason about the occupancy of the area around them. Occupancy information is valuable because it can be used to answer many other queries such as determining object tracks or the count of the number of people in an area. Camera sensors are challenging to include in a wireless sensor network (WSN)… (More)
See the CD-ROM for a video of epitome learning and the epitome webpage for further examples, comparisons and software.