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The seafloor high-definition camera (CamHD) installed on the Ocean Observatories Initiative (OOI) Cabled Array (CA) provides real-time video of the Mushroom vent at the ASHES hydrothermal field in the Axial Volcano caldera on the Juan de Fuca spreading zone (Figure 1). CamHD performs a pre-programmed 13-minute motion sequence every 3 hours. The video captured during this sequence is stored as a 13GB...
The Ocean Observatories Initiative (OOI) has a SubC 1Cam high-definition video camera (CAMHD) delivering real-time data since August 2015 from inside the caldera of Axial Seamount volcano, approximately 450 kilometers off the coast of Washington. These data are archived on the OOI's raw data repository at Rutgers University and are publicly available for download via the Apache HTTP Server endpoint...
This paper introduces an open-source HEVC video call application called Kvazzup. This academic proposal is the first HEVC-based end-to-end video call system with a user-friendly Graphical User Interface for call management. Kvazzup is built on the Qt framework and it makes use of four open-source tools: Kvazaar for HEVC encoding, OpenHEVC for HEVC decoding, Opus codec for audio coding, and Live555...
We propose a novel middle level estimation of traffic scenes: Collision Risk Rating (CRR). Given a video sequence from a dashboard camera as input, the objective is to estimate a rate that describes "how likely a collision could happen". CRR's problem setting is similar to that of video classification, but it is more complicated and requires rich feature representations to capture the different...
Advances in augmented intelligence (AmI) and machine learning offers the potential to support aspects of remote assistance. This includes situations where a field operator requires the technical support of an expert, such as for assembly, maintenance or repair tasks. While current remote systems commonly rely on human intervention, we propose looking at the feasibility of an artificial agent to take...
Due to the sparse distribution of road video surveillance cameras, precise trajectory tracking for hit-and-run vehicles remains a challenging task. Previous research on vehicle trajectory recovery mostly focuses on recovering trajectory with low-sampling-rate GPS coordinates by retrieving road traffic flow patterns from collected GPS information. However, to the best of our knowledge, none of them...
In supervised machine learning applications, a data set of training and validation features and labels is required to train a neural network. In this paper, we present a remote-controlled, mobile robot and describe software used to generate a data set for vision-based, supervised machine learning applications. We present results from an experiment, which validates the developed platform, and also...
In view of the shortcoming that the traditional video monitoring device is inconvenient to move, in this paper, we take the tracked intelligent vehicle as the research object and design a mobile video monitoring system based on Android. The system collects the video information of the environment around the intelligent vehicle through the camera and then transmits the video information to the Android...
State-of-the-art video deblurring methods are capable of removing non-uniform blur caused by unwanted camera shake and/or object motion in dynamic scenes. However, most existing methods are based on batch processing and thus need access to all recorded frames, rendering them computationally demanding and time-consuming and thus limiting their practical use. In contrast, we propose an online (sequential)...
We address the problem of incrementally modeling and forecasting long-term goals of a first-person camera wearer: what the user will do, where they will go, and what goal they seek. In contrast to prior work in trajectory forecasting, our algorithm, DARKO, goes further to reason about semantic states (will I pick up an object?), and future goal states that are far in terms of both space and time....
Person re-identification is an important task in video surveillance systems. It can be formally defined as establishing the correspondence between images of a person taken from different cameras at different times. In this paper, we present a two stream convolutional neural network where each stream is a Siamese network. This architecture can learn spatial and temporal information separately. We also...
Unmanned aerial vehicles (UAVs) have gained interest in different areas due to their versatility and multiple applications. In this case study, a wireless communication system is analyzed between the UAV and its earth station, for the transmission of thermal images in real time and application in fire control. Considering different types of UAVs capable of transporting a high performance thermal camera,...
Diminished reality (DR) is a technique to remove undesirable objects from a video stream in real time. DR methods calculate a user's camera pose using vision- or sensor-based approaches to recover and overlay a background image to the camera view. Relying on 6DoF camera registration methods, DR results are often ruined due to misregistration. To solve this problem, we propose a registration framework...
A significant issue associated with the use of video see-through head-mounted displays (VST-HMD) for augmented reality is the presence of latency between real-world images and the images displayed to the HMD. For a static scene, this latency provides no real problem, however for dynamic scenes, which arise when the HMD user moves their head, when real-world objects move, or a combination of the two,...
Motion analysis and tracking often relies on multimodal signals, e.g., video, depth map, motion capture (MoCap), due to the completeness of information they jointly provide. The joint analysis of multimodal signals requires to know the correct timing, i.e., the signals to be aligned. In this paper we propose an approach to automatically estimate the correct matching and alignment between a video and...
This work presents a video-based sequence synchronization algorithm to be used in real-time video surveillance applications. The signals are aligned based on an online dynamic time warping approach that uses only video content information. The algorithm was tested in the alignment of reference and target videos acquired in a cluttered industrial environment with a moving camera. During each recording,...
Low light situations pose a significant challenge to individuals working in a variety of different fields such as firefighting, rescue, maintenance and medicine. Tools like flashlights and infrared (IR) cameras have been used to augment light in the past, but they must often be operated manually, provide a field of view that is decoupled from the operator's own view, and utilize color schemes that...
Currently, more and more 360-degree videos (or 360 videos for short) are being provided via the Internet. This kind of videos can render a virtual reality (VR) environment via a head-mounted display (HMD). However, understanding the quality of experience (QoE) of 360 videos is a big challenge because user experience in VR is a very complex phenomenon. In this paper, the QoE of 360 videos is considered...
Progress in Multiple Object Tracking (MOT) has been historically limited by the size of the available datasets. We present an efficient framework to annotate trajectories and use it to produce a MOT dataset of unprecedented size. In our novel path supervision the annotator loosely follows the object with the cursor while watching the video, providing a path annotation for each object in the sequence...
There are many key device nodes in factory, in order to ensure these devices working in a safe and stable way, we need to monitor the status of this devices in real-time. The system based on the video surveillance and computer vision methods, to monitor real-time status of equipment and give some feedback to central control room automatically. The web camera site obtains the video information and...
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