0167-8655/$ see front matter 2012 Elsevier B.V. A http://dx.doi.org/10.1016/j.patrec.2012.07.005 ⇑ Tel.: +852 39438283; fax: +852 26035558. E-mail address: [email protected] Intelligent multi-camera video surveillance is a multidisciplinary field related to computer vision, pattern recognition, signal processing, communication, embedded computing and image sensors. This paper reviews the re...

Dumitru Adrian Ilie: On-Line Control of Active Camera Networks. (Under the direction of Greg Welch.) Large networks of cameras have been increasingly employed to capture dynamic events for tasks such as surveillance and training. When using active (pan-tilt-zoom) cameras to capture events distributed throughout a large area, human control becomes impractical and unreliable. This has led to the ...

Probabilistic approaches to computer vision typically assume a centralized setting, with the algorithm granted access to all observed data points. However, many problems in wide-area surveillance can benefit from distributed modeling, either because of physical or computations constraints. In this work we present an approach to estimation and learning of generative probabilistic models in a dis...

An architecture for opportunistic discovery of gesture elements for analysis of human gestures in a multi-camera sensor network is presented in this paper. The proposed approach is motivated by the diversity of gestures expressed in passive monitoring applications, and is based on the concept of opportunistic fusion of simple features within a single camera and active collaboration between mult...

A concrete reconstruction problem arising in Computer Vision motivates our investigation of combinatorial variations on the problem of drawing a graph with given direction vectors associated to its edges. We formulate solutions in dimension 2 and report on experimental results done with simple implementations. Direction Networks. A (planar)direction network is a graph G = (V,E) with slopes (or ...

Structured Tracking for Safety, Security, and Privacy: Algorithms for Fusing Noisy Estimates from Sensor, Robot, and Camera Networks

System design aspects must be considered to effectively map an application onto the constraints of a smart camera network. Therefore, we propose an application-driven design methodology that enables the determination of an output set of operation parameters given an input set of application requirements. We illustrate this approach utilizing distributed, sequential Bayesian estimation for sever...

The prevalence of camera networks in public places has increased substantially over the last ten years. This is in part due to improved vision algorithms and the development of simple, less expensive cameras. With this increased prevalence, a number of privacy concerns have been raised. Particular concern has focused on the level of detailed information that image data provides and the real tim...

We consider the agreement problem over random information networks. In a random network, the existence of an information channel between a pair of unit sat each time instance is probability and independent of other channels; hence, the topology of the network varies over time. In such a frame work, we address the asymptotic agreement for the networked units via notions from stochastic stability...

Camera sensor networks—wireless networks of low-power imaging sensors—have become popular recently for monitoring applications. In this paper, we argue that traditional vision-based techniques for calibrating cameras are not directly suitable for low-power sensors deployed in remote locations. We propose approximate techniques to determine the relative locations and orientations of camera senso...