Outdoor See-Through Vision Utilizing Surveillance Cameras

Kameda, Yoshinari; Takemasa, Taisuke; Ohta, Yuichi

doi:10.1109/ismar.2004.45

Cited by 48 publications

(25 citation statements)

References 29 publications

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“…Regarding research related to showing the invisible objects occluded by other objects using AR, Kameda et al (2004) introduced a method for visualizing invisible areas that are monitored by surveillance cameras to the user. Given a 3D model of the occluded objects and video of the invisible area, the method displays the blind spots by texture mapping of the video and the 3D objects using semi-transparent rendering.…”

Section: Related Workmentioning

confidence: 99%

Way-Finding Assistance System for Underground Facilities Using Augmented Reality

Yokoi

Yabuki

Fukuda

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Way-finding is one of main challenges for pedestrians in large subterranean spaces with complex network of connected labyrinths. This problem is caused by the loss of their sense of directions and orientation due to the lack of landmarks that are occluded by ceilings, walls, and skyscraper. This paper introduces an assistance system for way-finding problem in large subterranean spaces using Augmented Reality (AR). It suggests displaying known landmarks that are invisible in indoor environments on tablet/handheld devices to assist users with relative positioning and indoor way-finding. The location and orientation of the users can be estimated by the indoor positioning systems and sensors available in the common tablet or smartphones devices. The constructed 3D model of a chosen landmark that is in the field of view of the handheld's camera is augmented on the camera's video feed. A prototype system has been implemented to demonstrate the efficiency of the proposed system for way-finding.

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Section: Related Workmentioning

confidence: 99%

Way-Finding Assistance System for Underground Facilities Using Augmented Reality

Yokoi

Yabuki

Fukuda

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…This use of real images in a virtual environment was brought to augmented reality by Kameda et al [5]. The see-through vision tool allows users to 'see through walls' by rendering images from the other side of the wall onto a hand-held display.…”

Section: Related Workmentioning

confidence: 99%

“…The original see-through vision system by Kameda [5] was designed using surveillance camera videos. Wang et al developed a range of desktop visualizations [12] suitable for handling 50 live surveillance cameras installed in a large multistorey building.…”

Section: Related Workmentioning

confidence: 99%

“…In this case an occluded object or location could be a car or building hidden behind another building as seen in Figure 1. The system has been designed so that texture information is sourced from a video stream from the occluded location that is captured from a robot [1], other AR users, or surveillance camera [5]. It is assumed that the source of video information is equipped with position and orientation sensors to aid the rendering system.…”

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confidence: 99%

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User evaluation of see-through vision for mobile outdoor augmented reality

Avery

Thomas

Piekarski

2008

2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality

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We have developed a system built on our mobile AR platform that provides users with see-through vision, allowing visualization of occluded objects textured with real-time video information. We present a user study that evaluates the user's ability to view this information and understand the appearance of an outdoor area occluded by a building while using a mobile AR computer. This understanding was compared against a second group of users who watched video footage of the same outdoor area on a regular computer monitor. The comparison found an increased accuracy in locating specific points from the scene for the outdoor AR participants. The outdoor participants also displayed more accurate results, and showed better speed improvement than the indoor group when viewing more than one video simultaneously. KEYWORDS: INTRODUCTIONAugmented Reality (AR) can be used to augment the user's view of the world with both virtual information and virtual views of realworld information [1]. This paper investigates augmenting the user's view with occluded real locations, using videos captured at remote locations and 3D geometric models of the environment. We have developed a system that can render photo-realistic views of occluded locations that are displayed relative to the user's physical real-world location. In this case an occluded object or location could be a car or building hidden behind another building as seen in Figure 1. The system has been designed so that texture information is sourced from a video stream from the occluded location that is captured from a robot [1], other AR users, or surveillance camera [5]. It is assumed that the source of video information is equipped with position and orientation sensors to aid the rendering system.Previous research has investigated visualizing occluded objects for outdoor AR [6,11] and systems capable of rendering photorealistic 3D scenes of real environments intended for indoor use at a desktop computer [7,9,10]. When users view occluded objects in their real-world locations using AR, they can easily comprehend the position, orientation and size.Viewing remote video images by rendering them on the user's display has been shown to be usable and understandable [11]. When a user is able to see their own surroundings with correctly registered occluded locations directly overlaid (as with AR), they are easily able to determine spatial relationships between the relevant locations. The extreme alternative for the user is to view multiple remote videos on a regular display unaltered. This would pose problems to users as they have to manually determine the spatial relationships between videos. While this requires increased cognitive load for the user, the video images are unaltered, and so are at the highest quality possible.In this paper we present a study investigating how well users understand video sequences recorded at various locations by comparing current techniques with an image-based rendering technique on an outdoor wearable AR system. While previous research has eval...

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“…In addition, it provides its own feature matching algorithm for tracking feature points in image pairs based on a model of affine image changes. The KLT feature tracker has been successfully applied in several outdoor AR systems [31,32,33,34].…”

Section: Augmented Reality Initialisationmentioning

confidence: 99%

Markerless Augmented Reality for Robotic Helicoptor Applications

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Abstract. The objective of this research is to apply markerless Augmented Reality (AR) techniques to aid in the visualisation of robotic helicopter related tasks. Conventional robotic AR applications work well with markers in prepared environments but are infeasible in outdoor settings. In this paper, we present preliminary results from a real time markerless AR system for tracking natural features in an agricultural scene. By constructing a virtual marker under a known initial configuration of the robotic helicopter, camera and the ground plane, the camera pose can be continuously tracked using the natural features from the image sequence to perform augmentation of virtual objects. The experiments are simulated on a mock-up model of an agricultural farm and the results show that the current AR system is capable of tracking the camera pose accurately for translational motions and roll rotations. Future work includes reducing jitter in the virtual marker vertices to improve camera pose estimation accuracy for pitch and yaw rotations, and implementing feature recovery algorithms.

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Outdoor See-Through Vision Utilizing Surveillance Cameras

Cited by 48 publications

References 29 publications

Way-Finding Assistance System for Underground Facilities Using Augmented Reality

Way-Finding Assistance System for Underground Facilities Using Augmented Reality

User evaluation of see-through vision for mobile outdoor augmented reality

Markerless Augmented Reality for Robotic Helicoptor Applications

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