Typically, optimizing the poses and placement of surveillance cameras is usually formulated
as a discrete combinatorial optimization problem. The traditional aspects of solving the …

We propose a novel iterative method for optimally placing and orienting multiple cameras in
a 3D scene. Sample applications include improving the accuracy of 3D reconstruction …

Crowd surveillance plays a key role to ensure safety and security in public areas.
Surveillance systems traditionally rely on fixed camera networks, which suffer from …

This paper proposes a method to compute camera 6 DoF poses to achieve a user defined
coverage. The camera placement problem is modeled as a combinatorial optimization …

Video sensor networks consist of cameras to monitor targets and play an important role in
monitoring and analysis of agriculture, security management and emergency rescue, etc …

The increasing spreading of small commercial unmanned aerial vehicles (UAVs, also known
as drones) presents serious threats for critical areas, such as airports, power plants, and …

In large-scale surveillance of urban or rural areas, an effective placement of cameras is
critical in maximizing surveillance coverage or minimizing economic cost of cameras …

The recent trend toward the development of IoT architectures has entailed the transformation
of the standard camera networks into smart multi-device systems capable of acquiring …

With the advancement of sensor technology, distributed processing technology, and
wireless communication, Visual Sensor Networks (VSNs) are widely used. However, VSNs …

This paper proposes an optimization framework for terrain large scale optical sensor
placement to improve border protection. Compared to the often used, maximal coverage of …