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The usage of video surveillance systems increases more and more every year and protecting people privacy becomes a serious concern. In this paper, we present ASePPI, an Adaptive Scrambling enabling Privacy Protection and Intelligibility. It operates in the DCT domain within the H.264 standard. For each residual block of the luminance channel inside the region of interest, we encrypt the coefficients...
Recent progress in the development of unmanned aerial vehicles (UAVs) causes serious safety issues for mass events and safety-sensitive locations like prisons or airports. To address these concerns, robust UAV detection systems are required. In this work, we propose an UAV detection framework based on video images. Depending on whether the video images are recorded by static cameras or moving cameras,...
In the field of autonomous drone or micro air vehicle (MAV) research, much of the existing literature focuses on novel approaches to MAV automation and navigation. Whilst discovering these new approaches has scientific merit, these works rarely focus on the impact that the deployment of such systems have in terms of the operational time, power consumption or efficiency of the MAV. This work sets out...
With the continuous developments in vision sensor technology, highly miniaturized low-power and wearable vision sensing is becoming a reality. Several wearable vision applications exist which involve point tracking. The ability to efficiently detect points at a sub-pixel level can be beneficial, as the accuracy of point detection is no longer limited to the resolution of the vision sensor. In this...
Light field (LF) capture and processing are important in an expanding range of computer vision applications, offering rich textural and depth information and simplification of conventionally complex tasks. Although LF cameras are commercially available, no existing device offers wide field-of-view (FOV) imaging. This is due in part to the limitations of fisheye lenses, for which a fundamentally constrained...
This paper presents the first snapshot hyperspectral light field imager in practice. Specifically, we design a novel hybrid camera system to obtain two complementary measurements that sample the angular and spectral dimensions respectively. To recover the full 5D hyperspectral light field from the severely undersampled measurements, we then propose an efficient computational reconstruction algorithm...
Motivated by the limitations of existing multi-view stereo benchmarks, we present a novel dataset for this task. Towards this goal, we recorded a variety of indoor and outdoor scenes using a high-precision laser scanner and captured both high-resolution DSLR imagery as well as synchronized low-resolution stereo videos with varying fields-of-view. To align the images with the laser scans, we propose...
Light field capture and multi-layer light field displays are increasingly concerned topics for academia and industry. However, an integrated discussion connecting capture and display has been long neglected. Therefore, this paper proposes a duality analysis of capture and display to comprehensively analyze and define two basic attributes; depth range and angular resolution. The main contribution of...
The research for the global climate changes call for high quality satellite data and imageries regarding Polar Regions. In recent years, the development of immerging Earth-Observation micro/nano satellite technology provides new data source for polar region observations. The STU-2A is a newly-developed nano satellite specializing in polar region observation activities. It is a 3U CubeSat of 2.9kg...
Correct and realistic sensing model is of great significance for camera sensor networks to perform target coverage task. In most previous works, each target is considered as a point. However, some crucial features (e.g., size) of the target should be considered in the real world. In this paper, we propose an effective resolution sensing model based on region of interest (ROI), in which rigorous theoretical...
A central problem of diffusive imaging is the detection of a hidden object within a highly scattering medium. Overcoming this challenge has potential applications in numerous fields such as medical imaging, communications and security [1-3]. Here we present experimental results based on a single-photon SPAD array camera that allows picosecond timing: the full spatial and temporal information allows...
This paper presents a six degree of freedom position regression CNN (convolutional neural network) based on Google's Inception-V4 CNN. This network is then evaluated quantitatively and compared to previous state-of-the-art position regression CNNs. Our model achieves a 22% and 51% relative improvement compared to previous state-of-the-art methods for position and orientation accuracy respectively...
The aim of this study is to investigate methods for computing the position of an intruder aircraft relative to an observer aircraft with onboard stereo cameras. To focus on relative position estimation rather than the intruder aircraft detection through image processing, the first phase is to generate camera images given the relative position information. This process uses a simple pinhole camera...
Since several years most glaciers all over the world are showing increasing retreat, thinning and acceleration. To understand and model the phenomena as well as to predict the future development of ice fields and glaciers, glaciologists need different data that describe the glaciers condition. Therein, an important issue is the determination of velocity fields. These can be derived using remote sensing...
Multispectral images allow the identification of crop conditions that can be used for proper decision making in agriculture activities. A multispectral imaging system that includes cameras mounted on an Unmanned Aerial Vehicle (UAV) with other electronic modules such as GPS and autopilot system has been developed for covering great extensions of land and the acquisition of geolocated images. However,...
In this work we have performed a sensitivity analysis of the Visual Position Estimator for Rover (VIPER) algorithm using data and images provided by NASA MER exploration rovers and NASA Mars Reconnaissance Orbiter. The algorithm retrieves the rover camera position and orientation relative to a Digital Elevation Model by comparing the skyline extracted from a panoramic image captured by the rover and...
Time-lapse cameras provide valuable imagery for the study of the environment and ecosystems. In the case of glaciers, they can be used to monitor Glacial Lake Outburst Floods (GLOFs), ice calving of tidewater and freshwater fronts, ice velocity, glacier albedo and geometric changes. Custom-made time-lapse cameras from off-the-shelf components have been installed at glacier fronts in Fuego-Patagonia...
We provide a method to obtain high resolution images of oversized documents by mosaicking their images captured by a rig equipped with multiple consumer-level cameras. We only need to calibrate the system once, and then it gives accurate full-size document mosaicking results repeatedly and robustly afterwards. During calibration, we first determine global image registration information based on homography...
This paper presents a method to convey images to visually impaired people. It takes the images from a camera, which could be on a smartphone or embedded into eyeglasses, and then converts them into a set of modulated frequencies mixed together into one single audio melody, that is then played back to the user. Although it is very difficult for a normal user to makes sense of all the information that...
Unlike conventional framing cameras, neuromorphic readout integrated circuit (ROIC) outputs contain only asynchronous spikes of +1 or −1 bit signals. This is analogous to a biological retina that outputs ON and OFF pulses. A neuromorphic ROIC has a fast pixel response; outputs sparse data (small changes at the pixel level that represent only motion or temporal changes); and has very low latency. We...
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