#ImageLabs

[absolutefreedom001]

Neon Reprise (Music: Synth, Instrumental)

This is a great little synth tune and was just a quick experiment to see how Suno AI did with a purely instrumental piece.

I used PIka AI to provide basic animations that I looped over the base image, just to try something different.

I also included two Aptera cars. If you don't know please google search Aptera Motors and you will see the most efficient car ever produced. It is so efficient that they are able to add solar panels to it with up to 40 miles of drive time added per day from solar. The vehicle is in the bottom right and I turned older black model into a flying car in the top left.

[buddylistsocial]

Live Global Coronavirus News: Antibody Puzzle Complicates Immunity Question

Live Global Coronavirus News: Antibody Puzzle Complicates Immunity Question

Here’s what you need to know: Image

Lab technicians collecting blood samples for antibody testing in Brooklyn.Credit…Misha Friedman for The New York Times The limits of antibody testing add to the immunity mystery.

One of the great mysteries of the coronavirus pandemic has been the fact that many stricken people have later discovered that they don’t seem to have antibodies, the protective…

[nguyencongtrinh1995]

Human Behaviour Understanding for Automotive and Surveillance-Hiểu biết về hành vi của con người đối với ô tô và việc điều khiển 

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Hãy sub(đăng ký ) kênh để ủng hộ tác giả nhé ! 

Title: Human Behaviour Understanding for Automotive and Surveillance Keynote Lecturer: Rita Cucchiara Presented on: 16/01/2018, Funchal, Madeira, Portugal Abstract: Human behavior understanding (HBU) is a central topic for many different disciplines, from sociology, psychology to, more recently computer science. In this latter framework, Computer Vision and Pattern Recognition are strategic: advancements in motion analysis and interpretation, 2D and 3D video analysis and, obviously, deep learning make computer vision research in HBU a true success story.The talk will focus on HBU for two very related contexts. The first is automotive, a key application area nowadays, due to the fact that cameras are considered mandatory sensing components in cars to support assisted or automatic guidance, to improve the safety and comfort of drivers and passengers. HBU is needed inside and outside the car: to understand what the driver is doing, what he/she can do to drive better and what people around the car are doing. The second is surveillance where the study of human presence and activity has a long tradition. Here the analysis of behaviour of pedestrian, groups of people and crowd is based on computer vision: it now achieves unbelievable results due to the presence of annotated datasets and deep solutions. Surveillance and automotive are becoming always more connected in smart cities environments.In the talk, I will present an overview of recent research centred on humans in video acquired by the city or the car point of view. The talk will discuss the milestones of this research, the improvements and changes in effort due to deep machine learning approaches and the available annotated big data. Then I will present our research project at Imagelab on persons under surveillance systems and on persons in Human-Vehicle-Interaction applications. These solutions are mostly based on 3D information, saliency analysis and video segmentation and ground on extensive use of deep networks technology. I will discuss deep architectures we propose for understanding person presence, person behaviour and person interaction