Results 11 to 20 of about 42,934 (304)
Barrier coverage in camera sensor networks [PDF]
Barrier coverage has attracted much attention in the past few years. However, most of the previous works focused on traditional scalar sensors. We propose to study barrier coverage in camera sensor networks. One fundamental difference between camera and scalar sensor is that cameras from different positions can form quite different views of the object.
Yi Wang 0014, Guohong Cao
openaire +1 more source
Distributed compression in camera sensor networks [PDF]
We address the problem of distributed compression in camera sensor networks. Our approach uses some geometrical information in order to estimate the correlation in the visual data. This correlation, which is related to the structure of the plenoptic function, can then be used to reduce the overall transmission rate from the sensors to a common central ...
Nicolas Gehrig, Pier Luigi Dragotti
openaire +1 more source
Distributed calibration of Camera Sensor Networks [PDF]
We propose a distributed algorithm for calibrating the intrinsic and extrinsic parameters of a Camera Sensor Network (CSN). We assume that only one of the cameras is calibrated and that the network graph, i.e. the graph over which the cameras communicate, is connected.
Ehsan Elhamifar, René Vidal
openaire +1 more source
Cooperative Target Tracking by Multiagent Camera Sensor Networks via Gaussian Process
In this paper, we present learning-based robust cooperative control for camera sensor networks. The dynamics of each camera agent with the pan and tilt mechanism is modeled by the Euler-Lagrange equation.
Takashi Adachi +2 more
doaj +1 more source
Advanced driver-assistance system(s) (ADAS) are more prevalent in high-end vehicles than in low-end vehicles. Wired solutions of vision sensors in ADAS already exist, but are costly and do not cater for low-end vehicles. General ADAS use wired harnessing
Christiaan M. Fourie +1 more
doaj +1 more source
Neural Network Generalization: The Impact of Camera Parameters
We quantify the generalization of a convolutional neural network (CNN) trained to identify cars. First, we perform a series of experiments to train the network using one image dataset - either synthetic or from a camera - and then test on a different ...
Zhenyi Liu +3 more
doaj +1 more source
On full-view coverage in camera sensor networks [PDF]
Camera sensors are different from traditional scalar sensors as different cameras from different positions can form distinct views of the object. However, traditional disk sensing model does not consider this intrinsic property of camera sensors. To this end, we propose a novel model called full-view coverage.
Yi Wang 0014, Guohong Cao
openaire +1 more source
Barrier Coverage for 3D Camera Sensor Networks [PDF]
Barrier coverage, an important research area with respect to camera sensor networks, consists of a number of camera sensors to detect intruders that pass through the barrier area. Existing works on barrier coverage such as local face-view barrier coverage and full-view barrier coverage typically assume that each intruder is considered as a point ...
Pengju Si +5 more
openaire +3 more sources
Sensor node localisation using a stereo camera rig [PDF]
In this paper, we use stereo vision processing techniques to detect and localise sensors used for monitoring simulated environmental events within an experimental sensor network testbed.
Dermot Diamond +15 more
core +1 more source
Radar Voxel Fusion for 3D Object Detection
Automotive traffic scenes are complex due to the variety of possible scenarios, objects, and weather conditions that need to be handled. In contrast to more constrained environments, such as automated underground trains, automotive perception systems ...
Felix Nobis +4 more
doaj +1 more source

