Commercial camera traps are usually triggered by a Passive Infra-Red (PIR) motion sensor necessitating delay between triggering and the image being captured. This often seriously limits ability to record images of small fast moving animals. It also results in many “empty” images, e.g., owing foliage against background different temperature. In this paper we detail new mechanism based solely on ...

Pan–tilt–zoom (PTZ) camera networks have an important role in surveillance systems. They have the ability to direct the attention to interesting events that occur in the scene. One method to achieve such behavior is to use a process known as sensor slaving: one (or more) master camera monitors a wide area and tracks moving targets so as to provide the positional information to one (or more) sla...

We present a model that uses a single first-person image to generate an egocentric basketball motion sequence in the form of a 12D camera configuration trajectory, which encodes a player’s 3D location and 3D head orientation throughout the sequence. To do this, we first introduce a future convolutional neural network (CNN) that predicts an initial sequence of 12D camera configurations, aiming t...

Object tracking through multiple cameras is a popular research topic in security and surveillance systems especially when human objects are the target. However, occlusion is one of the challenging problems for the tracking process. This paper proposes a multiple-camera-based cooperative tracking method to overcome the occlusion problem.  The paper presents a new model for combining convolutiona...

This paper introduces mobile camera robots with camera rotation capabilities. The motivation behind mobile camera robots is that as they rotate their camera their real sensing range moves from a FoV coverage to a disk coverage, therefore allowing neighboring nodes to decrease their activity level, thus their energy consumption. As a sensing node’s activity is based on a criticality or risk appr...

Outdoor camera networks are becoming ubiquitous in critical urban areas of the largest cities around the world. Although current applications of camera networks are mostly tailored to video surveillance, recent research projects are exploiting their use to aid robotic systems in people-assisting tasks. Such systems require precise calibration of the internal and external parameters of the distr...

Signal processing meets computer vision: Overcoming challenges in wireless camera networks

Distributed camera networks typically consist of a very large number of cameras. Often, it is difficult to manage and control these cameras in an efficient and intuitive manner. In this paper we present an application study of a camera registration technique used to create an interactive control system. We argue that such a system improves efficiency for controlling a large network of cameras. ...

This paper proposes a novel probabilistic approach for appearance-based person reidentification in non-overlapping camera networks. It accounts for varying illumination, varying camera gain and has low computational complexity. More specifically, we present a graphical model where we model the person’s appearance in addition to camera illumination and gain. We analytically derive the solutions ...