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In this paper we introduce a novel Depth-Aware Video Saliency approach to predict human focus of attention when viewing videos that contain a depth map (RGBD) on a 2D screen. Saliency estimation in this scenario is highly important since in the near future 3D video content will be easily acquired yet hard to display. Despite considerable progress in 3D display technologies, most are still expensive...
More and more pedestrians own devices (as a smartphone) that integrate a wide array of low-cost sensors (camera, IMU, magnetometer and GNSS receiver). GNSS is usually used for pedestrian localization in urban environment, but signal suffers of an inaccuracy of several meters. In order to have a more accurate localization and improve pedestrian navigation and urban mobility, we present a method for...
Dietary assessment is a comprehensive evaluation of a person's food intake. It is very important to people in modern life, especially to the elders. In general, food intake measurement is performed by using a scale. However, it is inconvenient since the food is measured one-by-one before and after eating. In order to increase the convenience of food intake measurement, a short-range depth camera is...
The aim of this paper is to propose an image and map data-based localization method applicable to a variety of environments. For the localization, we use prior map database, image-based localization method, and MCL (Monte Carlo Localization). The results were confirmed by open data set in a variety of environments. The experimental results show the feasibility of the proposed method for the robot...
In this paper, we propose a homography-aware semi-supervised formulation for the logo-based indoor localization problem using smartphone cameras. Our method labels unmatched feature points detected inside the logo parts of query images with their estimated 3D coordinates. The 3D coordinates are computed using the homography estimated from the matched features. We demonstrate the accuracy improvement...
Vision-based methods have gained popularity as a tool for helping to analyze the behavior of bats. Though, for bats in the wild, there are still no tools capable of estimating and subsequently analyzing articulated 3D bat pose. We propose a model-based multi-view articulated 3D bat pose estimation framework for this novel problem. Key challenges include the large search space associated with articulated...
We describe a technique that automatically generates plausible depth maps from videos using non-parametric depth sampling. We demonstrate our technique in cases where past methods fail (non-translating cameras and dynamic scenes). Our technique is applicable to single images as well as videos. For videos, we use local motion cues to improve the inferred depth maps, while optical flow is used to ensure...
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