A network of co-operative cameras for visual surveillance

Micheloni, Christian; Foresti, Gian Luca; Snidaro, Lauro

doi:10.1049/ip-vis:20041256

Cited by 53 publications

(28 citation statements)

References 10 publications

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“…The selection of these four frames have been performed to check the performance of proposed localization algorithm in different cases such as partially occluded target (frame pairs 1 and 4), images having unequal zoom (frame pairs 1 and 2) and non-occluded (frame pairs 2 and 3). Simultaneously, the localization results are computed based on a monocular camera based technique [4](here we have used a static camera having wide field of view) for making a comparison of the achieved results and for showing the superiority of proposed method on monocular camera based techniques in case of partially occluded targets (see localization for frame pairs 1 and 4). Localization has been made in a 2D ground-plane map (30 × 40) meters.…”

Section: Resultsmentioning

confidence: 99%

“…From the low-level to the high level techniques three main steps can be identified: a) detection and localization of interesting objects, b) frame-to-frame tracking of detected objects and c) behaviour recognition. To achieve all these goals visual surveillance systems usually exploit a network of cameras [4]. Existing non-stereo systems often localize objects in the environment by defining homographies between single cameras and a 2D map [4].…”

Section: Introductionmentioning

confidence: 99%

“…To achieve all these goals visual surveillance systems usually exploit a network of cameras [4]. Existing non-stereo systems often localize objects in the environment by defining homographies between single cameras and a 2D map [4]. Such homographies are based on a ground plane constraint.…”

Section: Introductionmentioning

confidence: 99%

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Stereo Localization Using Dual PTZ Cameras

Kumar

Micheloni

Piciarelli

2009

Computer Analysis of Images and Patterns

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Abstract. In this paper, we present a cooperative stereo system based on two pant-tilt-zoom (PTZ) cameras that can localize a moving target in a complex environment. Given an approximate target position that can be estimated by a fixed camera with a wide field of view, two PTZ cameras with a large baseline are pointed toward the target in order to estimate precisely its position. The overall method is divided in three parts: offline construction of a look-up-table (LUT) of rectification matrices, use of the LUT in real time for computing the rectification transformations for arbitrary camera positions, and finally 3D target localization. A chain of homographic transformations are used for finding the matching between different pairs of wide baseline stereo images. The proposed stereo localization system has two advantages: improved localization on a partially occluded target and monitoring a large environment using only two PTZ cameras without missing significant information. Finally, through experimental results, we show that the proposed system is able to make required localization of targets with good accuracy.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Stereo Localization Using Dual PTZ Cameras

Kumar

Micheloni

Piciarelli

2009

Computer Analysis of Images and Patterns

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“…Proof: The conditions on P, P 1 and P 2 ensure that the synthesized local control protocols do not conflict and can be implemented separately at the same time 5 . Let ν 1 .…”

Section: B Distributed Control Protocol Synthesismentioning

confidence: 99%

“…In this paper, we consider a hierarchical visual surveillance system similar to that in [5]. The idea is to supplement a stationary camera network used for tracking with additional PTZ cameras to guarantee certain temporal logic specifications.…”

Section: Introductionmentioning

confidence: 99%

Distributed Synthesis of Control Protocols for Smart Camera Networks

Özay

Topcu

Murray

et al. 2011

2011 IEEE/ACM Second International Conference on Cyber-Physical Systems

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Abstract-We considered the problem of designing control protocols for pan-tilt-zoom (PTZ) cameras within a smart camera network where the goal is to guarantee certain temporal logic specifications related to a given surveillance task. We first present a centralized control architecture for assigning PTZ cameras to targets so that the specification is met for any admissible behavior of the targets. Then, in order to alleviate the computational complexity associated with LTL synthesis and to enable implementation of local control protocols on individual PTZ cameras, we propose a distributed synthesis methodology. The main idea is to decompose the global specification into local specifications for each PTZ camera. These decompositions allow the protocols for each camera to be separately synthesized and locally implemented while guaranteeing the global specifications to hold. A thorough design example is presented to illustrate the steps of the proposed procedure.

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