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A real sea survey result of sea floor at Middle Okinawa Trough by a hovering type AUV (Autonomous Underwater Vehicle) HOBALIN is reported. The depth of the survey target area is almost the intended limit of the AUV and it was the first time for the AUV to dive down to that depth since the AUV dived first time into the real sea almost one year ago. The operation of the survey with the AUV was done...
A set of Matlab tools were developed to create seafloor mosaics from AUV photosurveys. The resulting mosaic products are used to guide instrument placement, ground-truth acoustic backscatter targets, and inspect sensor packages or other targets. Because of the positional sensitivity of these tasks, effort has been made to preserve the geographic distribution of the image content. After initial image...
Marine aquaculture is deeply rooted in Norwegian national economics and traditions, especially in the M⊘re og Romsdal region. This paper presents the development of a novel ROV for aquaculture inspection in marine application to provide first-hand information in fishery nets. The ROV is a part of so called “Sea Farm” project. When the ROV doesnot work, it will be carried by a floating platform. A...
This paper presents the design of an underwater staring spectral imaging system, which has 31 different color filters that covers the spectral range of 400 nm–700nm. The filters are settled on 2 filter wheels so that the size and weight of the system is deduced greatly, which is essential for underwater applications. Experiments are conducted to test the system, and the results show that the system...
Analyzing fish and fish schools behavior can help in studying fish-fish interaction, analyzing characteristics of fish species, studying prey avoidance maneuvers of fish schools, etc. Such analysis requires the estimation of each fish's 3D location, 3D pose, and 3D shape over time. Moreover if we are interested in studying the interaction of fish by injecting visual / acoustic stimuli artificially...
The Pacific Islands Fisheries Science Center deploys the Modular Optical Underwater Survey System (MOUSS) to estimate species-specific, size-structured abundance of commercially-important fish species in Hawaii and the Pacific Islands Regions. The MOUSS is an autonomous stereo-video camera system designed for in situ visual sampling of fish assemblages. This system is rated to 500 meters and its low-light...
Mapping of underwater environments is a critical task for a range of activities from monitoring coral reef habitats to surveying submerged archaeological sites. In recent years, optical reconstruction methods developed for terrestrial (in air) applications have increasingly been applied to the underwater environment by the marine science community. However, assumptions such as the brightness constancy...
Image search engines commonly employ the Bag Of Features (BOF) method to represent each database image with a feature vector and retrieve the best candidate using a measure of similarity to a query image vector. The BOF vector, which specifies the occurrence frequency of features, is used with Soft Assignment (SA) to find the most similar candidates which are further analyzed using geometric information...
Although light field data provides abundant cues for depth estimation, light field depth estimation suffers from occlusion and uncertain edges. In this paper, we propose occlusion robust light field depth estimation using segmentation guided bilateral filtering. First, we calculate refocused images from light field data using digital refocusing. Second, we perform support vector machines (SVM) classification...
Omnidirectional, also referred to as 360º, visual content provides an immersive experience since it allows users to view a visual scene from different directions. The overall content typically covers a full sphere, and omnidirectional videos or images are processed to obtain a projection on a 2D plane of a fraction of the sphere (aka viewport), which is shown to the user. Therefore, users can look...
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...
In this paper, we deal with the most challenging task of recovering the 3D human pose from just a single monocular image, that may be a synthetic image or a real internet image. The retrieval and reconstruction of the articulated 3D pose, both are prerequisites for the analysis of the people in images/videos. We address both tasks together and propose an efficient framework for search & retrieval...
The task of object tracking in rectangular videos has been addressed in recent years by many researchers, where each method tries to propose a solution for a special challenge. Handling a variety of challenging situation of object tracking in 360-degree videos is still an unsolved problem and needs to be more considered. In the real world, the challenging situations include moving camera, high-resolution...
In multiview video applications, view synthesis is a computationally intensive task that needs to be done correctly and efficiently in order to deliver a seamless user experience. In order to provide fast and efficient view synthesis, in this paper, we present a cloud-based implementation that will be especially beneficial to mobile users whose devices may not be powerful enough for high quality view...
Hyperspectral imaging has great potential for understanding the characteristics of different materials in many applications ranging from remote sensing to medical imaging. However, due to various hardware limitations, only low-resolution hyperspectral and high-resolution multi-spectral images can be available using existing imaging techniques. This study aims to generate a high-resolution hyperspectral...
This paper presents a study that evaluates the performance of multi-view human activity recognition with videos having degraded quality. For the activity recognition models, a support vector machine-based approach using spatiotemporal features and a deep learning-based approach using convolutional and recurrent layers are built. We investigate the recognition performance of the two models with respect...
A projector is usually coupled with a dedicated projection surface to properly display visual information. This prevents the application of projection in places where a dedicated projection surface is not readily available. This paper presents a method for automatically detecting a good surface in a daily living and working space to support improvisatory projection without a pre-installed projection...
Users' Quality of Experience (QoE) in Interactive 3D Tele-Immersion (i3DTI) systems is influenced by several factors such as the quality of the "live" 3D avatars of the users, network latency, rendering methodology (head mounted display or regular TV type of display), etc. Hence, it becomes important to answer the question: "Is Visual Quality (VQ) the only factor to be considered or...
This paper deals with automatic estimation of the horizon in videos from fixed surveillance cameras. The proposed algorithm is fully automatic in the sense that no user input is needed per-camera and it works with various scenes (indoor, outdoor, traffic, pedestrian, livestock, etc.). The algorithm detects moving objects, tracks them in time, assesses some of their geometric properties related to...
A multi-view multi-target correspondence framework employing deep learning on overlapping cameras for identity-aware tracking in the presence of occlusion is proposed. Our complete pipeline of detection, multi-view correspondence, fusion and tracking, inspired by AI greatly improves person correspondence across multiple wide-angled views over traditionally used features set and handcrafted descriptors...
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