• Publications
  • Influence
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning
TLDR
We propose a two-stage adversarial model for image inpainting that does a better job of reproducing filled regions exhibiting fine details. Expand
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EdgeConnect: Structure Guided Image Inpainting using Edge Prediction
TLDR
We propose a two-stage model that separates the inpainting problem into structure prediction and image completion. Expand
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Planning ahead for PTZ camera assignment and handoff
TLDR
We present a visual sensor network, comprising wide field-of-view (FOV) passive cameras and pan/tilt/zoom (PTZ) active cameras, which automatically captures high quality surveillance video of selected pedestrians during their prolonged presence in an area of interest. Expand
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Multi-camera Control through Constraint Satisfaction for Persistent Surveillance
TLDR
We introduce a distributed camera coalition formation scheme for perceptive scene coverage and persistent surveillance by smart camera sensor networks. Expand
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A Negotiation Protocol with Conditional Offers for Camera Handoffs
TLDR
A new short-term memory model for maintaining a camera's own state and the state of its neighbouring cameras is exploited to generate conditional offers during camera handoff negotiations. Expand
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Object-Video Streams for Preserving Privacy in Video Surveillance
  • Faisal Z. Qureshi
  • Computer Science
  • Sixth IEEE International Conference on Advanced…
  • 2 September 2009
TLDR
This paper presents a framework for preserving privacy in video surveillance. Expand
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Negotiating Privacy Preferences in Video Surveillance Systems
TLDR
We propose a Privacy Aware Surveillance System (PASS) that is capable of enforcing user-specific privacy policies. Expand
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Multi-tasking smart cameras for intelligent video surveillance systems
TLDR
We demonstrate a video surveillance system— comprising passive and active pan/tilt/zoom (PTZ) cameras—that intelligently responds to scene complexity, automatically capturing higher resolution video when there are fewer people in the scene and capturing lower resolution video as the number of pedestrians present in a scene increases. Expand
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Surveillance camera scheduling: a virtual vision approach
We present a surveillance system, comprising wide field-of-view (FOV) passive cameras and pan/tilt/zoom (PTZ) active cameras, which automatically captures and labels high-resolution videos ofExpand
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Learning proactive control strategies for PTZ cameras
TLDR
This paper introduces a camera network capable of automatically learning proactive control strategies that enable a set of active pan/tilt/zoom cameras, supported by wide-FOV passive cameras, to provide persistent coverage of the scene. Expand
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