Robust Real-time Pedestrians Detection in Urban Environments with a Network of Low Resolution Cameras
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In this paper, we solve the problem of estimating dense and accurate depth maps from a single moving camera. A probabilistic depth measurement is carried out in real time on a per-pixel basis and the computed uncertainty is used to reject erroneous estimat ...
Multi-camera systems have attracted attention in recent years due to rapidly dropping cost of digital cameras. This has enabled wide variety of new research topics and applications for Multi View Imaging (MVI) systems. Virtual view synthesis, high performa ...
A custom spherical light-field camera used as a polydioptric system where imagers are distributed over a spherical geometry, each having its own vision of the surrounding and distinct focal plane. The spherical light-field camera is also an omnidirectional ...
The visual system of the flying insects is the source of inspiration for the presented hardware vision system. The faceted eyes of a common fly provide it with omnidirectional vision, egomotion and depth estimation. Utilizing the concept of faceted eyes, a ...
This paper presents a novel approach to capture light field in camera arrays based on the compressive sensing framework. Light fields are captured by a linear array of cameras with overlapping field of view. In this work, we design a redundant dictionary t ...
It has been shown that multi-people tracking could be successfullly formulated as a Linear Program to process the output of multiple fixed and synchronized cameras with overlapping fields of view. In this paper, we extend this approach to the more challeng ...
Micro aerial vehicles (MAVs) are a rapidly growing area of research and development in robotics. For autonomous robot operations, localization has typically been calculated using GPS, external camera arrays, or onboard range or vision sensing. In cluttered ...
We present a system for estimating location and orientation of a person’s head, from depth data acquired by a low quality device. Our approach is based on discriminative random regression forests: ensembles of random trees trained by splitting each node so ...
Human beings are interested in understanding their environments and the dynamic content that fills their surroundings. For applications ranging from security to marketing, people have installed networks of cameras to capture the dynamic elements of scenes. ...
This thesis addresses the issue of turbulence generated modes and intermittent structures using a fast visible imaging system on TORPEX. The plasma radiation mechanisms and experimental setup of the imaging system are discussed together with an optimized t ...