FlyCam: practical panoramic video and automatic camera control

Foote, Jonathan; Kimber, Don

doi:10.1109/icme.2000.871033

Cited by 68 publications

(46 citation statements)

References 5 publications

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“…Because of its capability to visualize a large region with high resolution, a panorama video system finds many applications such as videoconferencing (Foote and Kimber 2000), distance learning (Foote and Kimber 2001), remote environment visualization (Benosman and Kang 2001), and natural environment observation (Song and Goldberg 2005). The related work can be classified into two categories: panorama video generation and panorama video delivery.…”

Section: Related Workmentioning

confidence: 99%

Systems, control models, and codec for collaborative observation of remote environments with an autonomous networked robotic camera

2008

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Networked robotic cameras are becoming popular in remote observation applications such as natural observation, surveillance, and distance learning. Equipped with a high optical zoom lens and agile pan-tilt mechanisms, a networked robotic camera can cover a large region with various resolutions. The optimal selection of camera control parameters for competing observation requests and the ondemand delivery of video content for various spatiotemporal queries are two challenges in the design of such autonomous systems. For camera control, we introduce memoryless and temporal frame selection models that effectively enable collaborative control of the camera based on the competing inputs from in-situ sensors and users. For content delivery, we design a patch-based motion panorama representation and coding/decoding algorithms (codec) to allow efficient storage and computation. We present system architecture, frame selection models, user interface, and codec algorithms. We have implemented the system and extensively tested our design in real world applications including natural observation, public surveillance, distance learning, and building construction monitoring. Experiment results show that our frame selection models are robust and effective and our ondemand content delivery codec can satisfy a variety of spatiotemporal queries efficiently in terms of computation time communications bandwidth.

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Section: Related Workmentioning

confidence: 99%

Systems, control models, and codec for collaborative observation of remote environments with an autonomous networked robotic camera

2008

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“…The first approach requires use of software techniques such as image blending [4], piecewise image stitching [9,22], or 2D projective transformation [17,20,23]. The single camera approach may use a fish-eye lens [28], omnidirectional camera [14], or a conic mirror camera [3].…”

Section: Acquiring 360-degree Videomentioning

confidence: 99%

The impact of three interfaces for 360-degree video on spatial cognition

Boonsuk

Gilbert

Kelly

2012

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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In this paper, we describe an experiment designed to evaluate the effectiveness of three interfaces for surveillance or remote control using live 360-degree video feeds from a person or vehicle in the field. Video feeds are simulated using a game engine. While locating targets within a 3D terrain using a 2D 360-degree interface, participants indicated perceived egocentric directions to targets and later placed targets on an overhead view of the terrain. Interfaces were compared based on target finding and map placement performance. Results suggest 1) nonseamless interfaces with visual boundaries facilitate spatial understanding, 2) correct perception of self-to-object relationships is not correlated with understanding object-toobject relationships within the environment, and 3) increased video game experience corresponds with better spatial understanding of an environment observed in 360-degrees. This work can assist researchers of panoramic video systems in evaluating the optimal interface for observation and teleoperation of remote systems.

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“…Many techniques exist for generating coherent mosaics from several cameras [3][7] [8][5] [9]. However, most of them assume that the camera is panning or that there exists only rotation between the camera's optical centers.…”

Section: Related Workmentioning

confidence: 99%

CAMEO: Camera Assisted Meeting Event Observer

Rybski

Torre

Patil

et al. 2004

IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004

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Abstract-Static cameras are pervasive in a variety of environments. However it remains a challenging problem to extract and reason about high-level features from real-time and continuous observation of an environment. In this paper, we present CAMEO, the Camera Assisted Meeting Event Observer, which is a physical awareness system designed for use by an agent-based electronic assistant. CAMEO is an inexpensive high-resolution omnidirectional vision system designed to be used in meeting environments. The multiple camera design achieves the desired high image resolution and lower cost that can be achieved when compared to traditional omnicameras that make use of a single camera and mirror solution.

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FlyCam: practical panoramic video and automatic camera control

Cited by 68 publications

References 5 publications

Systems, control models, and codec for collaborative observation of remote environments with an autonomous networked robotic camera

Systems, control models, and codec for collaborative observation of remote environments with an autonomous networked robotic camera

The impact of three interfaces for 360-degree video on spatial cognition

CAMEO: Camera Assisted Meeting Event Observer

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