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An app developed by Cornell researchers uses augmented reality to help users repeatedly capture images from the same location with a phone or tablet to make time-lapse videos – without leaving a camer...
In the field of autonomous driving, semantic information of lanes is very important. This paper proposes a method of automatic detection of lanes and extraction of semantic information from onboard ca...
Today, the National Science Foundation (NSF) and NBC Learn, the educational arm of NBC News, released an original video series that explores the connection between water, food and energ...
We learn a lot about objects by manipulating them: poking, pushing, prodding, and then seeing how they react.We obviously can’t do that with videos — just try touching that cat video on your phone and...
In this paper we propose a new approach for change detection and moving objects detection in videos with unstable, abrupt illumination changes. This approach is based on mutual comparative filters and...
We present an interactive texture painting system that allows the user to author digital images by painting with a palette of input textures. At the core of our system is an interactive texture synth...
Using a state-of-the-art ultrafast electron microscope, University of Minnesota researchers have recorded the first-ever videos showing how heat moves through materials at the nanoscale traveling at t...
In this paper we present a method to efficiently detect moving objects namely vehicles in airborne thermal videos. The motion of the sensor is estimated from the optical flow using projective planar h...
In this paper airborne thermal videos are used to detect vehicles. The movement of the camera is estimated from the optical flow using projective planar homographies as transformation model. A three l...
In this contribution we describe a method to assess the activity of vehicles based on airborne image sequences taken by an infrared camera. Active vehicles often appear as a configuration of a dark a...
Semantic labeling is the task of assigning category labels to regions in an image. For example, a scene may consist of regions corresponding to categories such as sky, water, and ground, or parts of a...
The dramatic expansion of Mongolian mine sites from initial diggings to their present size has been captured using satellite imagery for the first time by researchers at The University of Queensland’s...
For applications such as underwater monitoring a platform with a camera will be moving close to a large roughly planar scene. The idea to map the scene by stitching a panorama using planar homographie...
Video surveillance systems are no longer a collection of independent cameras, manually controlled by human operators. Instead, smart sensor networks are developed, able to fulfil certain tasks on thei...
Urban terrain reconstruction has many applications in areas of civil engineering, urban planning, surveillance and defense research. Therefore the needs of covering ad-hoc demand and performing a cl...

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